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:
- 238362130abc0a04244d97b0ba290f793dacb4bcef69e0793a046e572d26b994
- Size of remote file:
- 627 Bytes
- SHA256:
- 564ceeb558d1b5e45e4becf4a6b7b599d62153ceae6a4b33a7bba952d471811c
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