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:
- 6db3fd0e6af4c262c0d64264366e264f18318851443891e9e0482d1dfa3c0fae
- Size of remote file:
- 4.22 kB
- SHA256:
- 354a9f23e93588a6ff5028f3601eea0fbc57d6e5e8e5481ee2652b206c28f67d
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