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:
- 8149a479ce7f928aad25ee296ce7c06dac6d7cd2a12eb1bf1a149bf7c69d6285
- Size of remote file:
- 4.28 kB
- SHA256:
- fc0e8a97c896c7e39aff2ea8bf40a150d183efe3b4f1f6f6508b9429e2f162cf
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