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:
- 0a5abe163e9e7cdc329a88cf78fb4cc3b610d864ee95f181d407389bfa34c8c4
- Size of remote file:
- 14.6 kB
- SHA256:
- a745e81107f3ba6f472ad60ed723fa157be1139c15e5b8456641012071e692da
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