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:
- e8ba99eaab0b2e248f90bca4565bf5b17cc8f241492888c2d9e11c8d2fe57e00
- Size of remote file:
- 4.28 kB
- SHA256:
- b852d763103aaa2b7a78d3c9a7727af4e65080840f5e0756bb9125f00525350e
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