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:
- 6b38f14017349c04bb91c525e5e74b8511613eb3b596505ad2f3b1acdbd909ef
- Size of remote file:
- 272 MB
- SHA256:
- 1572fadf87efd53c02bb66981d7ce05c196e203b64595fd65bb5e6a07638dd86
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