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:
- f7400d0a69b0b16861b75994b08c58c8b8f35730bdd98c8e6a538b766a8ceede
- Size of remote file:
- 4.28 kB
- SHA256:
- 818040a1e7a8475328a2588b356a7687c160c05c53b9b8656c42d8446b6db54c
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