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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fab79278eb0b4cadb29c333c0659455bfbdbcb3ea2209aa4540202aa34fdc45
- Size of remote file:
- 272 MB
- SHA256:
- af2027dcad89aa1350e5ae18ac8c4a6ac59d6ca65fa43e49121bd5a77d813a5d
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