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:
- 03ff0a2a18068a00d79936541775817e8cdbdac2489fd5409e35a27766042b4d
- Size of remote file:
- 272 MB
- SHA256:
- 0413186f67ba92994b41cc98f11a1f48aaaf88635edf48c2415cf766a98b517d
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