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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6cb6d034383fc277f0a8e467dc5c2db2ddaf13943435871fbf968074c146e84
- Size of remote file:
- 627 Bytes
- SHA256:
- 7a1b6ae14d4efd17e1822f1c734863a2d38a5362e7e31f4255f0578161d2f9ad
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