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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4db7c122f4c4e9a1ad1ff67865377b150fb55228e2fedae196712f1646e93766
- Size of remote file:
- 4.28 kB
- SHA256:
- 59dd149ac4f1ee883bb7ddb28d8014a6d17727b7bf182892ad834d71e38bf23b
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