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:
- 675ec6c9965703bf3ca7ff5ad8f5268f43e97309b1da52556fe37e16ae1bccae
- Size of remote file:
- 4.22 kB
- SHA256:
- e690a8079352f087c310ed193b21cd6ed1f307d13ea0d3dc21089c0d7a2c78b1
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