Instructions to use CLMBR/old-full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0cd88e25fc3ca36d6f7491dccc73c6e477d60ebdb84acbfb12bcbb5280c7a1f
- Size of remote file:
- 272 MB
- SHA256:
- fdeace4b9f88daacfa9147b43320141ee27d76316f721c67c3eb539d9293d83c
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