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:
- 9d235bff46949d8533e700c4ae7dceb23a3286a9b76fa2959f4e3a8fc741b680
- Size of remote file:
- 272 MB
- SHA256:
- 8e87b5f5665d140fb941aee63a48a8081c8b1ae322472500db280119fca353a0
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