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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
★ 34.6k starsApache-2.0
View guide →The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Transformers is an open-source dev tools project by huggingface (huggingface/transformers on GitHub). It has 166,942 GitHub stars and 34,748 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 4 October 2026.
Text, image, audio, or multimodal — find the pipeline that matches what you want to build.
One line downloads a pretrained checkpoint from the Hugging Face Hub.
Call the pipeline on your input; batching and device placement are handled for you.
Use the Trainer API for custom training, then export for serving.
One API across BERT, GPT, Llama, Whisper, ViT, and thousands more — swap checkpoints without rewriting code.
Task-based one-liners for classification, generation, transcription, and vision — from prototype to demo in minutes.
PyTorch, TensorFlow, and JAX backends; export to ONNX and TorchScript for production serving.
A full training loop with mixed precision, distributed training, and experiment tracking built in.
Blazing-fast Rust tokenizers with Python bindings — correct encoding for every model family.
The default dependency of the open AI world: tutorials, integrations, and answers for everything.
Pip-install the library plus your framework of choice.
pip install transformers torchChoose the task; the docs list every supported pipeline with examples.
from transformers import pipelineLoad any Hub model by name and run it locally or on your GPU.
pipe = pipeline('summarization'); print(pipe(long_text))It is an open-source project at huggingface/transformers with 34,742 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Yes — Apache-2.0. Individual model checkpoints carry their own licenses, so check each one.
Inference on small models works on CPU; training and large models want a GPU.
Both are supported; PyTorch is the community default today.
The Hugging Face Hub hosts hundreds of thousands of checkpoints loadable by name.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Build resilient agents
Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
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Free and open — grab the source, star the repo, and start creating.