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:
- f3f48709e531de5707f60c46576b584bd2fa1befa8daa437f809013f4b9361a2
- Size of remote file:
- 544 MB
- SHA256:
- 04962c462da89d59fb3d0257c28f8dbab8754165689cd541514ce6f7301eca47
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