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:
- 7b3ddc4410e366c8da249a8390b1b563092e33bcc713b3aabb0f74b80db0d198
- Size of remote file:
- 544 MB
- SHA256:
- d290bf9fa250ed9071c70e0bbd876ba3c16c3cb2d3539f3192291a02ad83b457
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