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:
- f174f291cbb6c029180f4ffe2ed465a64a56e64320097f0015d4792ea5e659b5
- Size of remote file:
- 4.22 kB
- SHA256:
- d1009e81448bd5faa4f8feddd122f3cbbd679588c1f59e3426b6141672b0815a
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