huggingface/transformers
🤗 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.
Hackable and optimized Transformers building blocks, supporting a composable construction.
Appears on
Quick read
Latest capture 2026-08-03 03:02
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
6 observed captures since 2026-05-25. Observed captures are shown by default.
Stars from first capture +58
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
🤗 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.
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
A library for mechanistic interpretability of GPT-style language models
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Scalable and memory-optimized training of diffusion models
State-of-the-Art Embeddings, Retrieval, and Reranking