Instructions to use harish/BERTRand-10000-6000000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/BERTRand-10000-6000000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/BERTRand-10000-6000000", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b92f87bd08fa20764c0cb5342b9db2e6a729d14d3c4ae97a6d7b358bcde88b72
- Size of remote file:
- 433 MB
- SHA256:
- 2117c3168182578d6c734465fbf58ad6ad23fc9d23044d83274329360450c13c
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