Instructions to use CLMBR/binding-c-command-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1ed9209e70b95eb42dc06cfa3896669cc2ded57d2218df6e50224b5c37b1c08
- Size of remote file:
- 272 MB
- SHA256:
- 252c07c0d7300eb27cd573aac4c37ef789f37e29a4478792dd1ec05e44d72f0c
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