Instructions to use CLMBR/old-rel-cl-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e24e41d02b429277831da68447de2d71300879c1a69a3f549e99b330e412b25
- Size of remote file:
- 272 MB
- SHA256:
- e10c77ca286264bb4a626064372f5f51a2df9ef54334b9d4226dc33ec0e5d3b4
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