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:
- 07a90eae97484d0bd0b4c810b65de1e8b09cd808770a8b389ccf5594dcf54556
- Size of remote file:
- 272 MB
- SHA256:
- 9ce6dd285436d9b1eac0da46019be2621e577dac12ebd0c9569ce54a302efe2f
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