Web12 apr. 2024 · 在ImageNet上,据我们所知,RepVGG的top-1准确性达到80%以上,这是老模型首次实现该精度。 在NVIDIA 1080Ti GPU上,RepVGG模型的运行速度比ResNet-50快83%,比ResNet-101快101%,并且具有更高的精度,与诸如EfficientNet和RegNet的最新模型相比,RepVGG显示出良好的精度-速度权衡。 Web🚀 Features. video-transformers uses:. 🤗 accelerate for distributed training,. 🤗 evaluate for evaluation,. pytorchvideo for dataloading. and supports: creating and fine-tunining video models using transformers and timm vision models. experiment tracking with neptune, tensorboard and other trackers. exporting fine-tuned models in ONNX format. pushing …
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WebHugging Face also has computer vision support for many models and datasets! Models such as ViT, DeiT, DETR, as well as document parsing models are also available. On the HF … WebStart using huggingface in your project by running `npm i huggingface`. There are no other projects in the npm registry using huggingface. Typescript wrapper for the Hugging … tick disease red meat allergy
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WebAbout. Learn about PyTorch’s features and capabilities. PyTorch Foundation. Learn about the PyTorch foundation. Community. Join the PyTorch developer community to contribute, learn, and get your questions answered. Web25 mei 2024 · There are four major classes inside HuggingFace library: Config class Dataset class Tokenizer class Preprocessor class The main discuss in here are different Config class parameters for different HuggingFace models. Configuration can help us understand the inner structure of the HuggingFace models. tick disease where you can\u0027t eat red meat