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:
- 6e2cea6ff16b23c512f11921420a9e6053f5193a4ee074b8e9c47d038d447d09
- Size of remote file:
- 272 MB
- SHA256:
- 55beb34ef77ae0edc5bbea2541573c8ab1cef7a7cdfac12394202df9cb628f40
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