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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e249e0fd3b17d04662ab5f30e2c4da3e870bfbf24e2e67843b9304a51473e043
- Size of remote file:
- 4.28 kB
- SHA256:
- cbd71e7c7fb01e7784e4bef2080143af37fcc1174621648bc4f2828ab2f920aa
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