Instructions to use CLMBR/superlative-quantifier-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c2df6f739a6c7836599ae5228ed2bc647f1dbe7987514b0ae58c75d43c5a042
- Size of remote file:
- 4.28 kB
- SHA256:
- a51c50c8a9d647f1a3c44e4a6d8e81d2f7aa15a3827c996b574a53a938396955
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