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:
- 31a098172299dd777a8595241f09d96bd115c700109ca0f30dd1452d1c3c2697
- Size of remote file:
- 544 MB
- SHA256:
- 7a17896828d7af53fdcb9549f02b95668be1192127582f3c9e2e52ae89a1dfc8
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