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:
- 87b19687c2f31a922cfccfec14f23d1b9117976e2c87ccc196c37d183b3f6e53
- Size of remote file:
- 272 MB
- SHA256:
- 04ea3fcbd27fd4985238cfa249fceeafc1f0a9cb38b634d8a5f9914ecd80ab53
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