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:
- 52a386b6cb568ced630f96f2db8c2b091923fb65fba5a5b2df252777ee89d1b6
- Size of remote file:
- 627 Bytes
- SHA256:
- 42e5711f85d6fb611705b037817500d1f5afbf552cdf050fe8cc345c30ab9ad9
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