Instructions to use CLMBR/superlative-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc06dc5032fa3108770a59516ba89b1c708a81e6215a59bfb61669873f2413e4
- Size of remote file:
- 4.28 kB
- SHA256:
- 83abf66c4234001da0a4b95b9155e35ac5dbececfdd52a521178197d16d32bd3
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