Instructions to use CLMBR/superlative-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-0 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b9b269f6984e6f89760e282f42dfad82f0c5e2bcd0a2ec61a00212453d6cb53
- Size of remote file:
- 272 MB
- SHA256:
- a267cc5d904494625589d6806e9ccb96ca5bf28be4ee7cd3f657324931ab5d4a
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