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:
- 68a6f3e10468610fb4a697dd7f63dbc39b9a23d586bee9427117c95ab6b7967b
- Size of remote file:
- 14.6 kB
- SHA256:
- eebf6e5868bbaa3a01c601a7db7e88265d04f819c92020967e98be86cb97dc6b
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