Instructions to use CLMBR/superlative-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 924c48366c3181b34fa67141456867286de531f7564b8c900a217c9472c2ea1e
- Size of remote file:
- 14.6 kB
- SHA256:
- c8ae0116da5c0689372cfffa144e69cf682730442e7ce3b09ba6fc44e710303a
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