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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7085a80d42f584032ca5a85a06cadbd3414c5e6370bed4666ccd890f362a684a
- Size of remote file:
- 272 MB
- SHA256:
- 32be8b1065f4759cee23f8580b891573282ab0875f4904774815f8dd6ad3fed9
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