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🤗 Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Whether you're looking for a simple inference solution or training your own diffusion models, 🤗 Diffusers is a modular toolbox that supports both. Our library is designed with a focus on usability over performance, simple over easy, and customizabil
AutoTrain Advanced: faster and easier training and deployments of state-of-the-art machine learning models. AutoTrain Advanced is a no-code solution that allows you to train machine learning models in just a few clicks. Please note that you must upload data in correct format for project to be created. For help regarding proper data format and pricing, check out the documentation. NOTE: AutoTrain i
🤗 Datasets is a lightweight library providing two main features: one-line dataloaders for many public datasets: one-liners to download and pre-process any of the major public datasets (image datasets, audio datasets, text datasets in 467 languages and dialects, etc.) provided on the HuggingFace Datasets Hub. With a simple command like squad_dataset = load_dataset("squad"), get any of these datase
❗Updates after Oct 10, 2022 are available in version >= 0.9❗ Many changes since the last 0.6.x stable releases. They were previewed in 0.8.x dev releases but not everyone transitioned. timm.models.layers moved to timm.layers: from timm.models.layers import name will still work via deprecation mapping (but please transition to timm.layers). import timm.models.layers.module or from timm.models.layer
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