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:
- a6bc0f08b0ac528bb129e69ffd33eb6a63fe696579d8252afddb62e1fc62abf7
- Size of remote file:
- 272 MB
- SHA256:
- a99a21554be1e3f1db0e534093087d6c9280dc0dc0bc4b8fcb56f65c435b04b4
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