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:
- d47cc47cedc23c1676ab28d08d99287bb19d5a67faabd73973fb7b1658b7ac12
- Size of remote file:
- 14.6 kB
- SHA256:
- 5db1045ea1c7fc80b98e59dbd7b8265972837f1bd983bd7b484705807c7b06ba
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