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Models. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The platform where the machine learning community collaborates on models, datasets, and applications.
HuggingFace Models is a prominent platform in the machine learning community, providing an extensive library of pre-trained models for various natural language processing (NLP) tasks. These models are part of the HuggingFace Transformers library, which supports state-of-the-art models like BERT, GPT, T5, and many others.
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow. 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: 📝 Text, for tasks like text classification, information extraction, question answering, summarization ...
Nov 2, 2023 · Hugging Face Models. Hugging Face is a Comprehensive Machine Learning Hub. On the Platform you can find what you need to get started with a task: demos, use cases, models, datasets, and more! Computer Vision. Depth Estimation: 82 models. Image Classification: 6,399 models. Image Segmentation: 311 models. Image-to-Image: 217 models.
Python 14.9k 1.4k. accelerate Public. 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support. Python 7.3k 874. optimum Public.
Nov 20, 2023 · Hugging Face Transformers offers cutting-edge machine learning tools for PyTorch, TensorFlow, and JAX. This platform provides easy-to-use APIs and tools for downloading and training top-tier pretrained models.
Jan 10, 2024 · To use a pre-trained model on a given input, Hugging Face provides a pipeline() method, an easy-to-use API for performing a wide variety of tasks. The pipeline () method makes it simple to use any model from the Hub for inference on any language, computer vision, speech, and multimodal tasks.
Apr 30, 2024 · In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform. This article explores the top 10 LLM models available on Hugging Face, each contributing to the evolving landscape of language understanding and generation. Let’s begin!
This article will cover the essentials of using Hugging Face for image classification, including understanding the basics of image classification, preparing your data, training your model, deploying your model to the Hugging Face hub, and finally interacting with the deployed model through API and Hugging Face interface.
