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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fc73b31d8de57f18c6636335bb559fc3d21268bfface1b3fa4b98845fdd6741
- Size of remote file:
- 14.6 kB
- SHA256:
- ba3ef45a37652bca1d45fb7d381b824054cdc5230316fa0ad9917a9621ec2984
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