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tar-main-content" data-post-id="10"> <div class="tve_lp_content tve_editor_main_content tve_empty_dropzone tve_content_width"> <div class="thrv_wrapper thrv-page-section tve_empty_dropzone tcb-window-width" data-tve-style="1" data-css="tve-u-167332325eb" style=""> <div class="tve-page-section-out" data-css="tve-u-167332325e7"></div> <div class="tve-page-section-in" data-css="tve-u-167332325f4"> <div class="thrv_wrapper thrv_text_element" data-tag="h1"> <h1 class="" data-css="tve-u-16a50670896" style="text-align: center;"><strong>Pip install deepsparse. I created a docker with ubuntu:20.</strong></h1> </div> <br> </div> </div> </div> <div class="tve_lp_footer tve_empty_dropzone"> <div class="thrv_wrapper thrv_page_section" data-tve-style="1"> <div class="out" style="background-color: rgb(13, 23, 37);" data-tve-custom-colour="50153525"> <div class="in lightSec"> <div class="cck clearfix tve_empty_dropzone"> <div class="thrv_wrapper thrv_text_element"> <p class="tve_p_center" style="margin: 0pt; padding: 0pt; color: rgb(153, 153, 153); font-size: 17px;"><font color="#ffffff">Pip install deepsparse. Load data 3. get-pip. in “topological order. Jan 15, 2023 · !pip install deepsparse[yolo] We start off by installing the prerequisites for the modoptima. It takes advantage of model sparsity by omitting zeroed parameters to limit compute during forward passes. README. from_deepsparse (result) slicer = sv. 0,<=2. I have a machine with the x86 instruction set and the avx2 support. For more info on the CLI arguments run: >>> deepsparse. utils import generate_random_inputs. 例えば、ONNX Runtimeのベースラインと比較して、DeepSparseは同じマシン上で Nebuly is the user analytics platform for LLMs enabling you to automatically capture how your users interact with your models. md. Install OpenAI and the DeepSparse LLM packages: pip install openai deepsparse-nightly[server,llm] Next, start the Server: Mar 14, 2024 · This is a patch release for 1. The platform helps you understand what your LLM users like, what they don’t and why, what are the most asked questions and how you can improve your LLMs products to delight your customers. For performance details, check out our Sparse Fine-Tuning paper. That means that if you need to pass literal square brackets as an argument to a command, you either need to escape them or quote the argument like this: pip install 'requests[security]'. onnx". . Run the following command: python get-pip. Download the file and run it with Python from a command prompt or terminal window: python3 get-pip. We’ll use a custom Docker container for this one. DeepSparse. Inference. DeepSparse Server runs on top of the popular FastAPI web framework and Uvicorn web server. Verify the installation class DeepSparse (LLM): """Neural Magic DeepSparse LLM interface. pip install deepsparse[서버,yolo,onnxruntime] ONNX 파일 수집. It’s incredibly easy to use. 11" 7. pip install deepsparse[transformers] Model Format . predictions in a few lines of code. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and Oct 5, 2022 · To quickly get started with the pipeline and model downloads, first install DeepSparse: pip install deepsparse. DeepSparse is an inference runtime with exceptional performance on CPUs. Comparison of latency performance and F1 scores on SQuAD for Prune OFA BERT Nov 2, 2023 · Using the DeepSparse OpenAI Server to Submit LinkedIn Posts. Environment Include all relevant environment information: OS : Windows 11 Python version : 3. ensurepip # Python comes with an ensurepip module [1], which can install pip in a Python environment. DeepSparse는 ONNX 형식으로 전달된 모델을 허용합니다: ONNX 모델에 대한 로컬 경로 Dec 21, 2023 · Decoder-only text generation LLMs, including Llama 2 7B, are now optimized in DeepSparse and offer state-of-the-art performance with sparsity. Install via PyPI (optional dependencies detailed here): pip install deepsparse To experiment with the latest features, there is a nightly build available using pip install deepsparse-nightly or you can clone and install from source using pip install -e path/to/deepsparse. Dependencies 32 Dependent packages 1 Dependent repositories 0 Total releases 94 pip install deepsparse[yolo] Model Format. ” This is the only commitment pip currently makes related to order. zip Nov 27, 2019 · Try using this code python3 -m pip install library_you_want. In the WSL terminal, try installing deepsparse again using pip. Once installed, download your sparse MNLI model from the SparseZoo and pass its Zoo stub into the pipeline object. In this guide, we will show how to plot and visualize model predictions. Note: Do not install TensorFlow with conda. DeepSparse now uses hwloc to determine CPU topology. The first step is to install DeepSparse. Plot predictions with a supervision Annotator Without further ado, let's get started! Step #1: Install supervision. YOLOv8 is designed to be fast, accurate, and easy to use, making it an Aug 31, 2023 · What is DeepSparse? DeepSparse, is an amazing Python library by Neural Magic, renders superior CPU performance. DeepSparse Segmentation. Installation and Setup Install the Python package with pip install deepsparse; Choose a SparseZoo model or export a support model to ONNX using Optimum Mar 7, 2023 · Learn about DeepSparse, an inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application. This repo contains model files for AmberChat optimized for DeepSparse, a CPU inference runtime for sparse models. Deploy the model on Amazon SageMaker on top of DeepSparse. Going forward, pip install deepsparse[transformers] and pip install deepsparse[yolov5] will need to be used. While it may be coincidentally true that pip will install things in the order of the install arguments or in the order of the items in a requirements file, this is not a promise. Sep 2, 2023 · Detections. First, install the supervision pip package: You signed in with another tab or window. g. Zephyr 7B β - DeepSparse This repo contains model files for Zephyr 7B β optimized for DeepSparse, a CPU inference runtime for sparse models. As mentioned above the modoptima uses the sparseml and deepsparse under the hood. 0 pip install tensorflow~=2. inputs = generate_random_inputs(onnx_filepath, batch_size) Jun 7, 2022 · 🕸 DeepSparse Engine. 3 participants. 04]: Ubuntu 18. batch_size = 1. detections with supervision. from deepsparse. 0 does not provide the extra 'yolov8' To Reproduce conda create --name test python=3. llms import DeepSparse prompt = "Who was the first president of the United States of America?" DeepSparse only works with PyTorch 1. - 8-bit weight and activation quantization support. . Let's start by downloading a sample Llama2-7b - DeepSparse This repo contains model files for Llama-2-7b-hf optimized for DeepSparse, a CPU inference runtime for sparse models. Install Pip on Linux (Ubuntu, Debian, Redhat) Jun 14, 2023 · When executing the line pip install --upgrade diffusers[torch] I was met with the following error; pip install --upgrade diffusers[torch] zsh: no matches found: diffusers[torch] I solved this by changing shell to bash, jumping in to the venv again and then re-running. 04 via WSL on Windows 10 Python version [e. Put the DeepSparse OpenAI integration to the test by using the Server to submit posts on LinkedIn using a Llama 2 model trained on Tiny Stories. For some step-by-step examples, we have Jupyter notebooks showing how to compile models with the DeepSparse Engine, check the predictions for accuracy, and benchmark them on your hardware. Dec 5, 2021 · joaanna commented on Dec 5, 2021. Jan 6, 2023 · >>> pip install -r requirements. I created a docker with ubuntu:20. Follow answered Nov 27, 2019 at 14:06. 本指南探讨了如何将Ultralytics'YOLOv8 与Neural Magic 的 DeepSparse Engine 集成。. InferenceSlicer ( callback = callback ) detections = slicer ( frame ) detections The text was updated successfully, but these errors were encountered: . 20210325 Additionally, our official 0. DeepSparse is built to offer GPU-class performance on commodity CPUs by taking advantage of the fast and large caches of CPUs. # Anything above 2. You switched accounts on another tab or window. 4. This page covers how to use the DeepSparse inference runtime within LangChain. Once WSL is setup and you have your Linux distribution of choice installed, you can open a WSL terminal. Inference Install DeepSparse LLM for fast inference on CPUs: pip install deepsparse-nightly[llm] Run in a Python pipeline: Feb 21, 2023 · With that information, let’s use DeepSparse to benchmark inference with and without bucketing. Open a command prompt and navigate to the folder containing get-pip. onnx_filepath = "fom. If you're not sure which to choose, learn more about installing packages. For instance, compared to the ONNX Runtime baseline, DeepSparse offers a 5. pt file into ONNX using the export. 1. First, install the supervision pip package: Apr 17, 2024 · SparseML enables you to create inference-optimized sparse models using state-of-the-art pruning and quantization algorithms. You can use the DeepSparse to run inference using models from Hugging Face. If your Python environment does not have pip installed, there are 2 mechanisms to install pip supported directly by pip’s maintainers: ensurepip. 5 embeddings model accelerated with Sparsify for quantization and DeepSparseSentenceTransformers for inference. To use, you should have the ``deepsparse`` or ``deepsparse-nightly`` python package installed. 📄️ SparseML. First, install the supervision pip package: Install via PyPI (optional dependencies detailed here): pip install deepsparse To experiment with the latest features, there is a nightly build available using pip install deepsparse-nightly or you can clone and install from source using pip install -e path/to/deepsparse. Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. DeepSparse is an inference engine by Neural Magic that runs optimally on CPUs. Once you installed the tool, run the pip install command again and see if it works. model detections 3. So, instead of using : pip install deepsparse[yolov8] We use: pip install deepsparse-nightly[yolov8] And the issue resolved ! Thanks again. Our platform empowers your Nov 12, 2023 · このガイドでは、Neural Magic の DeepSparse を使用してYOLOv5 を展開する方法を説明します。. This is the quantized (INT8) ONNX variant of the bge-small-en-v1. Let’s get started. Currently supported ML Frameworks are the following: torch>=1. This grants the engine the flexibility to serve any model in a framework-agnostic environment. Note: Hugging Face’s Transformers library will not immediately install with this command. Install supervision 2. 0 Expected behavior To have DeepSparse nightly installed without errors. Future releases will support later datasets versions so this is to restrict pandas to < 2. This model was quantized and pruned with SparseGPT, using SparseML. No milestone. Describe the bug Unable to install deepsparse engine. bnellnm assigned Willtor and unassigned Willtor on Nov 16, 2021. Aug 31, 2022 · Leverage the DeepSparse inference engine (NM proprietary engine) to run at 60+ FPS on CPU. This creates a clean API that allows you to pass raw text and images to DeepSparse and receive the post-processed predictions, making it easy to add DeepSparse to your application. keras >= 2. Install SparseML, Neural Magic's toolkit for optimizing deep learning models through state-of-the-art sparsification techniques. It may not have the latest stable version. pip install deepsparse-nightly [ llm ] Load Your Model and Run Inference : Use the following Python code to load your model and generate a response to a prompt: ## NEW DeepSparse LLMs Neural Magic is excited to announce initial support for performant LLM inference in DeepSparse with: - sparse kernels for speedups and memory savings from unstructured sparse weights. 更多详细信息和高级用法,请访问 Neural Magic的 DeepSparse 文档 。. The Server supports any Pipeline from DeepSparse, including object detection with YOLOv5, enabling you to send rawimages to the endpoint and receive the 📄️ DeepSparse. System Requirements. Jul 15, 2022 · Combining DeepSparse with the Prune Once for All sparse-quantized models yields 11x better performance in throughput and 8x better performance for latency-based applications, beating BERT-base and achieving DistilBERT level performance without sacrificing accuracy. Hardware: x86 AVX2, AVX-512, AVX-512 VNNI and ARM v8. Jun 14, 2023. benchmark. Pip should be now installed! As of v6. 20220701 SourceRank 10. from datasets import load_dataset. e. Let’s export our . 8 -y conda activate test pip instal SOLAR-10. py. 它强调了这种集成如何提高YOLOv8 在 CPU 平台上的性能,提供 GPU 级的效率和先进的神经网络稀疏性技术。. Installation details: Install sahi using pip: pip install transformers timm. Apr 27, 2022 · The DeepSparse Server is built on top of our DeepSparse Engine and the popular FastAPI web framework allowing anyone to deploy sparse models in production with GPU-class speed but on CPUs! With the DeepSparse Engine, we can integrate into popular deep learning libraries (e. Ultralytics YOLOv8, developed by Ultralytics, is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. Transformers and YOLOv5 integrations migrated from auto install to install from PyPI packages. ( #1634 ) Assets 3. Ubuntu 18. It is broken into two parts: installation and setup, and then examples of DeepSparse usage. Nov 8, 2021 · rahul-tuli commented on Nov 10, 2021. pip install deepsparse[server,yolo,onnxruntime] Collect an ONNX File. py or python3. Mar 8, 2024 · Install Pip on Windows and Mac. DeepSparseは Neural MagicのCPU推論ランタイムであり、ニューラルネットワーク内のスパース性と低精度演算を活用し、コモディティハードウェア上で卓越したパフォーマンスを提供する。. I was able to succesfully pip install deepspars Apr 2, 2013 · Then instead of just calling pip install <package>, you can use the module flag -m with python so that it uses the anaconda python for the installation. Run the following to install DeepSparse. squad_dataset = load_dataset("squad", split="validation") Run inference on the dataset without bucketing. DeepSparse takes advantage Nov 12, 2023 · DeepSparse 服务器运行于流行的 FastAPI 网络框架和 Uvicorn 网络服务器之上。 只需一个CLI 命令,您就可以轻松地用 DeepSparse 建立一个模型服务端点。 该服务器支持 DeepSparse 的任何管道,包括使用YOLOv5 进行对象检测,使您能够向端点发送原始图像并接收边界框。 Oct 20, 2023 · pip install deepsparse-nightly[llm] langchain. Meanwhile, you could use our Docker Spaces to build your Space, if you’re interested I can send you a PR? Download get-pip. Feb 3, 2024 · Download files. 10 is not supported on the GPU on Windows Native pip install "tensorflow<2. This grants the Jan 9, 2023 · Then if you want to explore the examples, clone the repository and any install additional dependencies found in example folders. 此外,还可以 Aug 18, 2021 · Milestone. pip install deepsparse. 0 for now. If you choose to use the default settings, it will run the server on localhost and port 5543 . I open an internal issue to bump it. 0, tensorflow>=1. We need the TensorFlow model to use it. It offers a blend of GPU-like velocity and uncomplicated software handling. Mar 25, 2021 · pip uninstall deepsparse pip install deepsparse-nightly Verify that the latest nightly was installed with pip freeze | grep deepsparse , the version should be deepsparse-nightly==0. Models trained with SparseML can then be exported to ONNX and deployed with DeepSparse for GPU-class performance on CPU hardware. As always, the very first thing we need when embarking on an ML project is the data. The dataset. # Generate random sample input. Instead, a sparsification-compatible version of Transformers will install on first invocation of the Transformers code in DeepSparse. Before we run the server, you can configure the host and port parameters in our startup CLI command. Hi @gkomix88, The DeepSparse Engine is validated to work on x86 Intel and AMD CPUs running Linux operating systems. DeepSparse is able to improve latency performance on a 10 core laptop by 3X and up to 5X on a 16 core AWS instance. DeepSparse 接受ONNX 格式的模型,可以以. py, python3 get-pip. txt. Mar 14, 2024 · It is recommended to install in a virtual environment to keep your system in order. However the node I want to install deepsparse on has more than 4 cores and multiple CPUs available. 收集ONNX 文件. 9 To Repr pip install deepsparse To experiment with the latest features, there is a nightly build available using pip install deepsparse-nightly or you can clone and install from source using pip install -e path/to/deepsparse . 6 get-pip. /abstract. 5-quant. 5. 2+ Like Hugging Face Pipelines, DeepSparse Pipelines wrap pre- and post-processing around the inference performed by the Engine. 0 that contains the following changes: Latest 1. Try it now. Run the DeepSparse Server: Ok! Feb 4, 2021 · Install pip install deepsparse-nightly==1. Nov 12, 2023 · pip install "deepsparse[server,yolo,onnxruntime]" Thu thập một ONNX Tệp DeepSparse chấp nhận một mô hình trong ONNX định dạng, được thông qua dưới dạng: Feb 7, 2023 · hi @mwitiderrick, it looks like it’s due to our locked pip version 22. pip install deepsparse[server,yolo,onnxruntime]. python -m pip install <package> This installs the package to the anaconda library directory rather than to the library directory associated with (the non-anaconda) pip zsh uses square brackets for globbing / pattern matching. 0, pip installs dependencies before their dependents, i. 8. download_file_from_google_drive(file_id= '1wrij-aGTeyWEVBPzl0ilwnqkKqk-5D65' , dest_path= '. - efficient usage of cached attention keys and values for minimal memory movement. 0 From root directory of the repository run followings. 2+ Install DeepSparse LLM: Install the DeepSparse library, which is specifically designed for running inference on large language models (LLMs) efficiently. , Hugging Face, Ultralytics) allowing you to deploy sparse models with Install via PyPI (optional dependencies detailed here): pip install deepsparse To experiment with the latest features, there is a nightly build available using pip install deepsparse-nightly or you can clone and install from source using pip install -e path/to/deepsparse. Plot and blur predictions with a supervision BlurAnnotator Without further ado, let's get started! Step #1: Install supervision. 0, tensorflow. Inference Install DeepSparse LLM for fast inference on CPUs: pip install deepsparse-nightly[llm] Run in a Python pipeline: Hi, I am trying to run Deepsparse on MacOS. No branches or pull requests. We recommend you use a virtual environment with Python. Show how to filter by confidence, area, and more Without further ado, let's get started! Step #1: Install supervision. AbdulRahim Khan Dec 27, 2022 · Describe the bug Installing DeepSparse nightly breaks with ERROR: No matching distribution found for sparsezoo-nightly~=1. Let's install that version. Python 으로 가상 환경을 사용하는 것이 좋습니다. 17. 10. 👍 1. 8x speed-up for YOLOv5s, running on the same machine! For the first time, your deep learning workloads can meet the Here's how you can get started with WSL and then attempt installing deepsparse again: Install WSL following the official guide. Install DeepSparse LLM for fast inference on CPUs: pip install deepsparse-nightly[llm] Run in a Python pipeline: from deepsparse import TextGeneration. To get started, run the command pip install deepsparse[llm] and use the TextGeneration Pipeline. Make sure you are in the directory where the script was downloaded. If you want to disable globbing for the pip command permanently, you can do so by adding this to your NVIDIA-provided redistributables are Python pip wheel installers for PyTorch, with GPU- acceleration and support for cuDNN. 1 pip install tensorflow-probability~=0. We will: 1. Mac and Windows require running Linux in a Docker or virtual machine. 7B-Instruct-v1. To use DeepSparse in LangChain, import the DeepSparse class and pass the path to a model. Source Distribution DeepSparse. Using the nightly build, exporting NM_ARCH_FILE and using the json provided by @andy-neuma resolved that issues. DeepSparse + SAHI walkthrough: (NEW) SuperGradients/YOLONAS + SAHI: (NEW) Installation. You can use a Hugging Face model or a SparseZoo stub. 0 - DeepSparse This repo contains model files for SOLAR-10. 0,<2. Just give it an ONNX model and you’re ready to roll. Install with pip using: pip install sparseml More information on installation such as optional dependencies and requirements can be Models optimized with SparseML can then be exported to the ONNX and deployed with DeepSparse for GPU-class performance on CPU hardware. DeepSparse accepts a model in the ONNX format, passed either as: A local path to an ONNX model DeepSparse. By default, to deploy the transformer using DeepSparse Engine it is required to supply the model in the ONNX format along with the HuggingFace supporting files. 例えば、ONNX Runtimeベースラインと比較して、DeepSparseは同じマシン上で実行されるYOLOv5sに Describe the bug Installation with yolov8 support doesn't work: pip install deepsparse[yolov8] prints deepsparse 1. If that doesn’t work, try upgrading pip, setuptools, and wheels: # upgrade pip pip install --upgrade pip. Download the file for your platform. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and Jul 5, 2022 · trying : pip install sparseml[torchvision] deepsparse got the following error, PS: Used in new env as well, same error , although this command works fine in colab. On Windows and Mac, you can download a Python script to install pip, called get-pip. py, depending on which version of Python you want to install pip. 2 for our Spaces Gradio template. The following example shows how you can execute the pipeline with dynamic labels. 2. 通往ONNX 模型的本地路径; SparseZoo 存根,用于识别 SparseZoo 中的模型; 我们将把标准密集 YOLOv5 与经过剪枝量化的 YOLOv5 进行比较,后者由以下 SparseZoo 存根标识: Jan 6, 2023 · Deploy YOLOv5 With DeepSparse Install DeepSparse. The DeepSparse installation additionally provides the CLI deepsparse. 0 version will be released soon that will be compatible with the current API on the main branch. We can run inference on the models using DeepSparse's TextGeneration Pipeline: from deepsparse import TextGeneration pipeline = TextGeneration ( model_path = \"zoo:llama2-7b-gsm8k_llama2_pretrain-pruned60_quantized\" ) prompt = \"Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. Notebooks. Next, load the SQuAD validation set. 📄️ SparseZoo Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. Jul 9, 2009 · Hello, I'm currently experiencing the same importing issues with deepsparse 12. 다음을 실행하여 DeepSparse를 설치합니다. py script. 0 optimized for DeepSparse, a CPU inference runtime for sparse models. Expected behavior Should have installed from the pip install deepsparse command. Dec 13, 2022 · pip install deepsparse-nightly[haystack] pip install sparseml[torch] pip install farm-haystack[all]== 1. Hi, I'm trying to convert an onnx model to a deepsparse model, here is the code: from deepsparse import compile_model. NEW SparseML One-Shot LLM Compression Neural Magic is excited to preview one-shot LLM compression workflows using the new SparseGPTModfier ! Apr 21, 2023 · If you’re getting the same error, then you need to install Microsoft Visual C++ Build Tools which you can download here. 9. You signed out in another tab or window. English | 简体中文. Usage. server --help 3. 7]: Dec 27, 2022 · Describe the bug Installing DeepSparse nightly breaks with ERROR: No matching distribution found for sparsezoo-nightly~=1. Environment Conda env To Reproduce pip i As of v6. 3. By default, to deploy YOLOv5 using DeepSparse Engine it is required to supply the model in the ONNX format. from langchain. Jun 29, 2022 · Describe the bug Failed building wheel for deepsparse Environment Include all relevant environment information: OS [e. pip install onnx-tf~=1. Inference Install DeepSparse LLM for fast inference on CPUs: pip install deepsparse-nightly[llm] Apr 13, 2024 · pip install --upgrade pip Then, install TensorFlow with pip. py to a folder on your computer. bge-small-en-v1. Reload to refresh your session. 04. Load . The packages are intended to be installed on top of Nov 12, 2023 · Ultralytics 提供了多种安装方法,包括 pip、conda 和 Docker。YOLOv8 通过 ultralytics pip 软件包的最新稳定版本,或通过克隆 Ultralytics GitHub 存储库 获取最新版本。可以使用 Docker 在隔离的容器中执行软件包,避免本地安装。 DeepSparse is a sparsity-aware inference runtime that delivers GPU-class performance on commodity CPUs, purely in software, anywhere. Environment Conda env To Reproduce pip i Feb 26, 2023 · I really love the work done by deepsparse library and I am getting excellent FPS now on my windows machine running Ubuntu app. Development. Install DeepSparse, Neural Magic's high-performance inference engine, for optimized deep learning model deployment on CPUs. 5-supported transformers datasets are incompatible with pandas 2. 2+ Edit model card. Installation and Setup Install the Python package with pip install deepsparse; Choose a SparseZoo model or export a support model to ONNX using Optimum; LLMs Dec 30, 2023 · 摘要. Improve this answer. pip is recommended since TensorFlow is only officially released to PyPI. Jan 6, 2023 · This guide explains how to deploy YOLOv5 with Neural Magic's DeepSparse. DeepSparseは、CPU上で卓越したパフォーマンスを発揮する推論ランタイムです。. 0--no-dependencies Download and extract the arXiv dataset: from google_drive_downloader import GoogleDriveDownloader as gdd gdd. 0. With just a single CLI command, you can easily setup a modelservice endpoint with DeepSparse. 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Here is how to check your bottle for leaks:</h3> </div> </div> </div> </div> </div> </div> <div class="thrv-columns thrv_wrapper" style=""> <div class="tcb-flex-row tcb-resized tcb--cols--2"> <div class="c-33 tve_empty_dropzone tcb-flex-col" data-css="tve-u-17306bdd200" style=""> <div class="tcb-col"> <div style="" class="thrv_wrapper tve_image_caption aligncenter knowhow-lightbox-image" data-css="tve-u-17306bdf9cc"> <span class="tve_image_frame"> <img decoding="async" loading="lazy" class="tve_image" src="//" style="" data-attachment-id="24" data-width="268" data-height="521" data-init-width="267" data-init-height="435" data-css="tve-u-17306bdf9db" height="521" width="268"> </span> </div> <div class="thrv_wrapper thrv_custom_html_shortcode"><iframe title="Embedded Wufoo Form" allowtransparency="true" style="border: medium none ; width: 100%;" src="" frameborder="0" height="1500" scrolling="no"> <a>Fill out my Wufoo form!</a> </iframe> <div class="tve_iframe_cover"></div> </div> </div> </div> <div class="c-66 tve_empty_dropzone tcb-flex-col" data-css="tve-u-17306bdd219" style=""> <div class="tcb-col"> <div class="thrv_responsive_video thrv_wrapper" data-url="" data-modestbranding="1" data-aspect-ratio="16:9" style="" data-float="false" data-overlay="0" data-type="youtube" data-rel="0" data-aspect-ratio-default="0" data-float-visibility="mobile" data-float-position="top-left" data-float-width-d="300px" data-float-padding1-d="25px" data-float-padding2-d="25px"> <div class="tve_responsive_video_container" style=""> <div class="tcb-video-float-container"><iframe title="Responsive Video" class="tcb-responsive-video" data-code="94yJEhoo6Pw" data-provider="youtube" allowfullscreen="" data-src=" class=" video_overlay="" frameborder="0"></div></div> </div> </div><div><span><img></span></div></div> </div> </div></div></div></div><div></div><span></span></article></div><a>x</a></div></div><style>@media (min-width:300px){[data-css="tve-u-1675161f432"]{background-color:rgb(226,226,226);border:0px none rgb(51,51,51);border-radius:0px;}[data-css="tve-u-1675161f435"]{padding:0px;}[data-css="tve-u-1675161f435"] .tve-cb h3{color:rgb(51,51,51);margin-top:60px;margin-bottom:0px;}[data-css="tve-u-1675161f435"] .tve-cb p{color:rgb(255,255,255);margin-top:0px;margin-bottom:24px;}[data-css="tve-u-1675163f6cd"]{z-index:0;margin-top:-227px !important;}:not(#tve) [data-css="tve-u-16a506c8f37"]{color:rgb(255,0,0) !important;text-transform:uppercase !important;font-size:23px !important;}:not(#tve) [data-css="tve-u-17306c0a2e8"]{padding-top:0px !important;margin-top:0px !important;}[data-css="tve-u-17306c0ab06"]{max-width:1000px !important;border-style:none !important;background-color:rgb(255,255,255) !important;border-color:rgb(51,51,51) !important;}[data-css="tve-u-17306c0ab13"]{border-style:inherit !important;background-color:rgba(0,0,0,0) !important;border-color:rgb(98,98,98) !important;color:rgb(98,98,98) !important;border-width:inherit !important;display:none !important;}}</style><div><div></div><div><div><article><div><div><div><div></div> <div> <div> <div> <div> <div><p>&nbsp;</p></div> </div> <div> <div><h3><span>Having other issues?</span> Fill out this form <span>below</span> for assistance.</h3></div><div><h1><strong>You will receive a response to your inquiries Monday - Friday between 10am and 4pm ONLY!</strong></h1></div> </div> </div> </div> </div> </div> <div><div> <div> <div><div> <span> <img> </span> </div></div> </div> <div> <div><div><iframe> <a> Fill out my Wufoo form! </a> </iframe> <div class="tve_iframe_cover"></div> </div> </div> </div> </div> </div> </div> </div> <div class="tcb_flag" style="display: none;"></div> <span id="tho-end-content" style="display: block; visibility: hidden;"></span></div> <a href="javascript:void(0)" class="tve_p_lb_close" style="" data-css="tve-u-17306c0ab13" title="Close">x</a></div> </div> <div style="display: none;" id="tve_thrive_lightbox_12"> <div class="tve_p_lb_overlay" data-style="" style=""></div> <div class="tve_p_lb_content bSe cnt tcb-lp-lb" style="" data-css="tve-u-17da6e42eef"> <div class="tve_p_lb_inner" id="tve-p-scroller" style=""><article></article> <div id="tve_flt" class="tve_flt tcb-style-wrap"> <div id="tve_editor" class="tve_shortcode_editor tar-main-content" data-post-id="12"> <div class="thrv_wrapper thrv-columns" style=""> <div class="tcb-flex-row v-2 tcb--cols--2" data-css="tve-u-17da6e4d916" style=""> <div class="tcb-flex-col c-33"> <div class="tcb-col"> <div class="thrv_wrapper tve_image_caption" data-css="tve-u-17da6e4b51c"><span class="tve_image_frame"><a href=""><img decoding="async" class="tve_image wp-image-29" alt="" data-id="29" data-init-width="267" data-init-height="435" title="slider1" loading="lazy" src="" data-width="267" data-height="435" data-link-wrap="true" srcset=" 267w, 184w" sizes="(max-width: 267px) 100vw, 267px" height="435" width="267"></a></span></div> </div> </div> <div class="tcb-flex-col c-66" data-css="tve-u-17db5a38c01" style=""> <div class="tcb-col"> <div class="thrv_wrapper thrv_custom_html_shortcode"><iframe title="Embedded Wufoo Form" allowtransparency="true" style="border: medium none ; width: 100%;" src="" frameborder="0" height="1275" scrolling="no"> <a>Fill out my Wufoo form!</a> </iframe> <div class="tve_iframe_cover"></div> </div> </div> </div> </div> </div> </div> </div> <div class="tcb_flag" style="display: none;"></div> <span id="tho-end-content" style="display: block; visibility: hidden;"></span></div> <a href="javascript:void(0)" class="tve_p_lb_close" style="" data-css="tve-u-17da6e42ef5" title="Close">x</a></div> </div> </div> </div> </body> </html>
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