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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94e1ec0fce61d418c66af544b977396c07749a95e9dc31b6a35baced8a6407b5
- Size of remote file:
- 4.28 kB
- SHA256:
- 259217d1582651141ab5e672fef553b7ef7392cb56f5089747c047a03363a888
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