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:
- b0e0143da85c100dd96b2ce802a6461da8f0ab9a5bc3d15a3afa6b9a257f9be0
- Size of remote file:
- 272 MB
- SHA256:
- 9323e8946c3b376cfbfab2daa5d6d0efe37dfef55a4a4d87186a06ac477c4b13
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