Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dcf5d3a3bf57743859f72ef5a3cd3cfac65ad3c2561abec3e865055b50ff4ea
- Size of remote file:
- 627 Bytes
- SHA256:
- 24e1fa672a348d4d6ad724ef4f9c761a6f3ced079bf89cd753deef9d69c92293
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