Instructions to use CLMBR/superlative-quantifier-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 239ebce146c4298850431f19b56126eea1e85a30c837459de1af3134663935b0
- Size of remote file:
- 272 MB
- SHA256:
- ae46312d2de48bef85650400893c2e5075a13dec15e5b85cb116354092fe43d7
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