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:
- 8508c55ee824fb48dc1450161b8e90f2cca8d04ef69b91a4e0509814e612c826
- Size of remote file:
- 272 MB
- SHA256:
- 29b37990b57810731344c005af0a222ad8c8c27ea5bec5ea018adffa2a9fc4e3
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