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:
- df11f20bc3118d91f10932011da24f1e1c261c979c2c8e530b643956e2c3a629
- Size of remote file:
- 272 MB
- SHA256:
- 4bbe7bcdfd16914443c3840e25c8d8020683445df8bad421739e0db74d25bcee
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