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:
- 07cf588f401e93b63c928c67768ae7c9ceed22fc08ea4235f29a5366702839c9
- Size of remote file:
- 272 MB
- SHA256:
- 6c03e5204b148f960f9352a5ef2bc9eb5c8006e9b5a164c9680f7bf650c40d6e
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