Instructions to use harish/BERTRand-2-10000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/BERTRand-2-10000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/BERTRand-2-10000", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c3e71690f834cf8b710c0c9a5ba01e1ccaea7b06e143e47ba920f18b8fccc67
- Size of remote file:
- 433 MB
- SHA256:
- fdd7b9d33ea942e907355b3e5195244c5e4bce1d04e50cd9be23cee2e4bdfbf8
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