Instructions to use harish/BERTBaseClone-10000-6000000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/BERTBaseClone-10000-6000000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/BERTBaseClone-10000-6000000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from harish/BERTBaseClone-10000-6000000: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/harish/BERTBaseClone-10000-6000000/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://harish/BERTBaseClone-10000-6000000/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/harish/BERTBaseClone-10000-6000000/resolve/main/flax_model.msgpack
433 MB
- Xet hash:
- 3ba463be8abd1ab8bd43b1dbae62b1b1f236056a9a6812c293b8dd9daaedbccf
- Size of remote file:
- 433 MB
- SHA256:
- 84dcdcfcddf61e30050a4ada92723bf644611af77e81a8b91241e070006e2e54
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