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:
- a66321741c49f72f79a031f7504a725a7d178a35e5b8d6b9cf74d354305c7397
- Size of remote file:
- 14.6 kB
- SHA256:
- e773a3bf6c95e80c8020d7f64905fe4f97dbce04ba754c64e2ce0d9d273ec0ba
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