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:
- 0e6438bec069114930bebb3be490dd7b432001e52d88cd6d0fd6a61cac648e18
- Size of remote file:
- 544 MB
- SHA256:
- c0ba4c9d529308722d0da6fbaaecf9414860bcbcc929b3145c8e39b7b58e8b8a
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