Showing 4 open source projects for "python cli"

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  • Picsart Enterprise Background Removal API for Stunning eCommerce Visuals Icon
    Picsart Enterprise Background Removal API for Stunning eCommerce Visuals

    Instantly remove the background from your images in just one click.

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  • 1
    Xorbits Inference

    Xorbits Inference

    Replace OpenAI GPT with another LLM in your app

    Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. Xorbits Inference(Xinference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. With Xorbits...
    Downloads: 4 This Week
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  • 2
    PaddleSpeech

    PaddleSpeech

    Easy-to-use Speech Toolkit including Self-Supervised Learning model

    PaddleSpeech is an open-source toolkit on PaddlePaddle platform for a variety of critical tasks in speech and audio, with state-of-art and influential models. Via the easy-to-use, efficient, flexible and scalable implementation, our vision is to empower both industrial application and academic research, including training, inference & testing modules, and deployment process. Low barriers to install, CLI, Server, and Streaming Server is available to quick-start your journey. We provide high...
    Downloads: 1 This Week
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  • 3
    OpenLLM

    OpenLLM

    Operating LLMs in production

    ..., CLI, our Python/Javascript client, or any HTTP client.
    Downloads: 0 This Week
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  • 4
    Sockeye

    Sockeye

    Sequence-to-sequence framework, focused on Neural Machine Translation

    ... to sockeye-dev-at-amazon-dot-com. Developers may be interested in our developer guidelines. Starting with version 3.0.0, Sockeye is also based on PyTorch. We maintain backwards compatibility with MXNet models of version 2.3.x with 3.0.x. If MXNet 2.x is installed, Sockeye can run both with PyTorch or MXNet. All models trained with 2.3.x (using MXNet) can be converted to models running with PyTorch using the converter CLI (sockeye.mx_to_pt).
    Downloads: 0 This Week
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