Instructions to use CLMBR/superlative-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-0 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa729cb9c784c7ec2e6292d44a16520ca0b329c73d71560a64c6deab55f122f6
- Size of remote file:
- 272 MB
- SHA256:
- 501f7a4591fffdc01ce7566b0927d7b13dfaba25cdd6393ffa3e9200cf661bfe
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