Instructions to use CLMBR/superlative-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55fb1551b3e34fea4cd7fa719fbe08858265dc334743462d9f631aca4d7937e3
- Size of remote file:
- 272 MB
- SHA256:
- 6d3fd41130460f91a5a8055ed7617ebc435879d3237670ec298691e5ef44dc27
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