Instructions to use CLMBR/old-rel-cl-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e41c9c63a1f9054630795a9294c8eda5583317871dd474fd163189fb3dbbc96
- Size of remote file:
- 4.22 kB
- SHA256:
- 9fbe31df2b4a214b4a8b8afeb258c9975c09edd4e4a89cbb391ce04cbcd00e21
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