Instructions to use CLMBR/old-rel-cl-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aba03322bf830365c5e240f827246e7f56cfc611a01081ff764cd58ff6120619
- Size of remote file:
- 272 MB
- SHA256:
- 5de5bf8e841ae4b1a852d2e13bcfeed7bd4060b8684c573aa4de28c8e521b5fc
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