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:
- 84156209f2bd4c7921ccea32c1eefb43951ca1d2d54d1c80082a314ba6b6fe1a
- Size of remote file:
- 627 Bytes
- SHA256:
- 9d1b5ebaeb36eabfeda2200ea576e9785a2610f34c611099478f9f3d843eb7a4
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