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:
- d0c39ba7cb7ed3092004cdd5d516bc925fefe44e64e11d1783833711e1a29b78
- Size of remote file:
- 4.22 kB
- SHA256:
- 0959b206e770bf8fb388bb6fe652e5811f301123fe32acd5b6df028cbddf020c
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