Instructions to use CLMBR/superlative-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-0 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c9a95c7abd502fbf5c3e3fe2b35ae585ceaefa3b70580b49afce2709dfb0494
- Size of remote file:
- 272 MB
- SHA256:
- 5ffd3941044d60d929d69da2772f33b67aeefde4c51a777b15707ac7cbeb62e3
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