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:
- 6bf6a3e6b5e0f1c3b26439bf4a1fa5c31accf856ee057d6f883f553ce0fffe01
- Size of remote file:
- 627 Bytes
- SHA256:
- f77a43b82d60ad52b4362d1801890bd7143e69b1f9f3bca6ec4bc2941d1eac97
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