![]() The hf_hub_download () function is the main function for downloading files from the Hub. The W&B integration adds rich, flexible experiment tracking and model versioning to interactive centralized dashboards without compromising that ease of use. The returned filepath is a pointer to the HF local cache. The library currently contains PyTorch implementations, pre-trained model weights, usage scripts and conversion utilities for the following models: BERT (from Google) released with the paper. ![]() ![]() As we strive to make models even more accessible to anyone, we □Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2. □ Transformers can be installed using conda as follows: Transformers¶. BERT has originally been released in base and large variations, for cased and uncased input text. Huggingface transformers latest version Copied.
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