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:
- 7e511055689d3a590a0c3c6cb5f53bf1e963c2ab1ba19dc13e881b2fb4edcaf7
- Size of remote file:
- 272 MB
- SHA256:
- de9ab98c0abb291c6ac72149194d3c7f7bce88b13beb62de403b684e726f82ab
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