Instructions to use CLMBR/superlative-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9260c5adb9b3d19fbd1645988fc726cd25ba725df36f8423c8052e2812993c3
- Size of remote file:
- 14.6 kB
- SHA256:
- 116c3d76f132aff5f139c6cd87d39f32dc771fe26b66ce79963625d00e62645e
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