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:
- a274b71b926427d7b0c53b1155ae7d755d24c0ed2b608d89f88eca548d7fef46
- Size of remote file:
- 272 MB
- SHA256:
- fcd9acbda497951539bfdd35c9acab2eeefad3b75f9f69f17799571ad1d5ef6e
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