🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Aug 20, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
Deezer source separation library including pretrained models.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A PyTorch implementation of EfficientNet
A treasure chest for visual classification and recognition powered by PaddlePaddle
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
OpenMMLab Pre-training Toolbox and Benchmark
An open source implementation of CLIP.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Natural Language Processing Best Practices & Examples
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
Sandbox for training deep learning networks
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
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