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:
- 85f09802a90e81cc030c961907f49c2a219049ed46c9a7c28479ab281c3bfaa5
- Size of remote file:
- 14.6 kB
- SHA256:
- 7a1245d7e62b15dce77ee8033128ce87170a090ccb856b351a01949275a72362
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