Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Causal depthwise conv1d in CUDA, with a PyTorch interface

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Tools for merging pretrained large language models.

Mamba SSM architecture

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.