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:
- a53a6b4d5efcfdd757c0d9852ec34f765ac124588e8025cf5f72dea4c027ae50
- Size of remote file:
- 14.6 kB
- SHA256:
- 57a97a1d38ef3b23f6b63ff45a15e6673a6f43cd5fced588a3c0d2f271c10fa7
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