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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aff0cb8c1dc9b2118b35ecfc724b707f65e33c46d9af7cc456a771acb572518f
- Size of remote file:
- 4.28 kB
- SHA256:
- c8c4f6efafe9133c823382244c6d7838db9a851e317d4b47813b9dac19d44722
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