Instructions to use CLMBR/superlative-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db915eb74fb5cf392c211f9e742fef90bb46f9bda21dd30dc2e1344d8714c2b2
- Size of remote file:
- 544 MB
- SHA256:
- e5cdb85a7821576ac04de5a4d437a483d4f1dc1402eb86c24762a1d311bf15e9
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