Instructions to use CLMBR/superlative-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aab366808dcb5c075be182cdbc87137c2b957bea662f5d1738cc2b0d171426f0
- Size of remote file:
- 272 MB
- SHA256:
- 55c5998f2ce1351b8589e2307fd342a0b7129e73e6a8901bed9bf6b72a9d1212
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