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:
- ca2dd7004c44e6e24961c0cbb2551ec0a2835888fe52ef874bec8ef64c298f5e
- Size of remote file:
- 272 MB
- SHA256:
- 3b7fc08e1cbbf468e4d364cc1133d29e46f9e08fd62af672979921025028bcaa
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