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:
- 38874189b6b6bfac9cdacc047ebd0c0355df5cbe793b21c0fd0e0509883f48c5
- Size of remote file:
- 272 MB
- SHA256:
- bc8708c65e87b3038f015889a7f766a4bd19f468d345349f82ee601c8274d20f
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