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:
- dfd21f31991035eec0cbb6366191f118c5dd21cd1aa5ccd7be4286a37450b56b
- Size of remote file:
- 544 MB
- SHA256:
- 91bb48972c253b76ed7deeefd2abaf03f2232690f91434a164039379feeb7f99
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