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:
- 7577ac01b8fb53bdf6da3714ff250cae9cc3019ce8cc3139c26a2ba7a06022fe
- Size of remote file:
- 4.22 kB
- SHA256:
- fb2ded6b6029f4409c83de0e0bd7d6a61dffb13bde4b026ab5aa86bc94b23dbb
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