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:
- cbcdb9e9f1785377b93e4528b499b03877195dbc18a2e767b449d52f9387e5a0
- Size of remote file:
- 272 MB
- SHA256:
- 1d1e89f006341c64d9088ed28fcb033539c1c97dcf25417b7b0f34166a61ef8c
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