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:
- d510d327c0d4cc3414ea787d91e6a70cd4a16869c194a6ca68b687db56b7ed04
- Size of remote file:
- 272 MB
- SHA256:
- a7f705329afa99a01b10a2a15f1553093e2c880e043bc7890d95dedba965801a
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