Instructions to use CLMBR/binding-c-command-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3b8d22c02fc0cba466bdbf0fcd41db05f0ed5ca824fd41a191c1e6dabc717bd
- Size of remote file:
- 4.22 kB
- SHA256:
- 2418e1dc524b7ea67b005d6eae39d5e7696ed8e4aebfef44948f54b3e2aaee4e
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