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- transformers
transformers Public🤗 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.
- accelerate
accelerate Public🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
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huggingface/large-scale-image-deduplication’s past year of commit activity Uh oh!
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huggingface/xet-core’s past year of commit activity - pytorch-image-models Public
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
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huggingface/pytorch-image-models’s past year of commit activity - optimum-neuron Public
Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.
huggingface/optimum-neuron’s past year of commit activity