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:
- 353b073f3fe3954f9d4c58856c64eb2bfcaadeb53f0e0bc7ccc19e76d7723fa5
- Size of remote file:
- 4.28 kB
- SHA256:
- 291f0a26e4047d4c5e007a9cf760920e31f60cbc74d04c1359e3d372574c9237
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