Instructions to use CLMBR/superlative-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c7f48b8e11ce90543dc4e9665d89e94fd923790fb3492f689d107e848d5849d
- Size of remote file:
- 4.28 kB
- SHA256:
- d842c082fbd8697246729f4600738da72edc70062d98d2938398503cfebe90ff
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