Instructions to use CLMBR/full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 649760024de3c17582a35ad734e8400d5bfcd6bfd6a7756b97ab601fefe44521
- Size of remote file:
- 272 MB
- SHA256:
- ceefeaa87301f22fd7b2351616c2aa8188e6e8767ca40929649d301d27c64ba9
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