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:
- 45f06bc90dd4e40ed029bfeb23b5bfb3a6a31dacff819b50ed06622d4e2f7a4d
- Size of remote file:
- 4.22 kB
- SHA256:
- 526158a170f59a4fa016d69b1a1856cd59bb42fe843241c7650b6f75043eb666
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