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:
- 000aa6a0d0da97e9ac6c4b3b6869b7508dfc1e5ac5c3b503b6b6ff89e4e96254
- Size of remote file:
- 272 MB
- SHA256:
- 53cfdd7fd4b989ccec545531e5ad3f44014bf1f681ce90ff1bcf9e8d6c0769ba
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