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:
- b9b06198aac4943953e87aa313c71f8cc14084ede3b94073cf2f51d9034d23e0
- Size of remote file:
- 272 MB
- SHA256:
- 6591f46be2676ff28df6cabb680923ca0be6f4abd6a76e9364f7bfd0e3dbf34a
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