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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 544d825f34925f91453bed32b766944a11680d1ed47502dd61d4485d5509c5d7
- Size of remote file:
- 544 MB
- SHA256:
- b4c064b056964916a22c21805eefd0da4637340959a601e7f88d035cf7a0c053
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