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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9bc36082a6bfdb619cf52cdba3645e8932eaf0245e609fec7bf0f4f7d137d2e
- Size of remote file:
- 14.6 kB
- SHA256:
- 997f34b7a2a1e751a951c1690d1b43e0a81526ece9232eae1690c906b8019eb5
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