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:
- 00c9363128923a2fd7f297f4449ff0913407d946eb1a4293aa9673f8437197a4
- Size of remote file:
- 627 Bytes
- SHA256:
- 13a7c711b47f6291d94087607b3d8bd5e52539e68494ede9d3e10628f0f97297
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