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:
- 8ae1a540bc6e628262bf92bee1018d4f71cfa954dd3c1611c88c13334c6f50ec
- Size of remote file:
- 627 Bytes
- SHA256:
- b1451966406aa65a526e301d5cb393a4128fc8089fbda109b6e2f4ba796d35ec
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