Huggingface Transformers, Adapters AllenNLP BERTopic Asteroid Diffusers ESPnet fastai Flair Keras TF-Keras (legacy) ML-Agents mlx-image MLX OpenCLIP PaddleNLP peft RL We’re on a journey to advance and democratize artificial intelligence through open source and open science. State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX. This means you can load an AutoModel like you would load an AutoTokenizer. Hugging Face, Inc. nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 In this article, we'll explore how to use Hugging Face 🤗 Transformers library, and in particular pipelines. Contribute to huggingface/course development by creating an account on GitHub. Hugging Face Transformers is an open source library that provides easy access to thousands of machine learning models for natural language processing, computer vision and Whether you’re performing sentiment analysis, question answering, or text generation, the Transformers library simplifies the integration and fine-tuning of these models. Transformers have revolutionized the game. Transformers acts as the model-definition framework for state-of-the-art machine learning with text, computer vision, audio, video, and multimodal models, for both inference and training. Transformers is designed to be fast and easy to use so that everyone can start learning or building with transformer models.