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:
- c4c7a04392e2256416319446d6cb8f5d297e7de9cb6aed8632bcb8dbf0b04958
- Size of remote file:
- 544 MB
- SHA256:
- bbcdb2d9706e374f8f19578fe4705bebdce53a8e75d8875d1493a46794932b5d
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