Instructions to use CLMBR/old-rel-cl-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f3a24ab13ae3fa91b0bcc00a69b27e38609eb47dab943bbee4a895a63dca27a
- Size of remote file:
- 272 MB
- SHA256:
- fe0d6ffdc360b45853f36ad7b60d244834ded7f464708e44bea8400ca130d244
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