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:
- e7615996c4b3ef5d8ef598c54907d78cba8c99c215f782cb6b64d8e7cb5c2897
- Size of remote file:
- 272 MB
- SHA256:
- 8a793f98de793f80c6d555a678c5a102e0a29c213d7c769d64c6c15e53970a58
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