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:
- 83d03a621a4d5c27392102fd3a119059a37917bd1745e0614822e2d0de37e964
- Size of remote file:
- 544 MB
- SHA256:
- d502962fc61a51b2f1ea64dc5230ba5ad5248f1a661302e4373ec437ffa04c24
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