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:
- 0ddfe49a9284bb773bf9cb2619a0ad7abd22358a97eb90e487fc86dd7bdd40ef
- Size of remote file:
- 544 MB
- SHA256:
- c13a2c0d6ec91fc1e25e1174ab615f716b020f565899b689bdb751c80a842393
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