🤗 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.
- nlp
- natural-language-processing
- pytorch
- pytorch-transformers
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🤗 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.
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
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
TranslatedThe official repo of Qwen chat & pretrained large language model proposed by Alibaba Cloud.
Pretrained models for TensorFlow.js
An open source implementation of CLIP.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Pretrained model hub for Keras 3.
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
The PASS dataset: pretrained models and how to get the data
A TensorFlow implementation of the Mnemonic Descent Method.
Address book for computer vision models.