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:
- ab4968eb2bf6d4f075595ef2c9a1678ae5024d94e6a0e1235c28f242bf557af8
- Size of remote file:
- 627 Bytes
- SHA256:
- 4646650e0d2662c40374f004321aba5288a51a94cac878c342571f4a7b2dbe2d
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