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:
- f12e3c088706145100f08052a1d6c6b8fc4b2ac605d29bf89d6c7f2da4e9de5c
- Size of remote file:
- 544 MB
- SHA256:
- 35fc5b0e43adc9184942782e7851eb9c7c94522eca2084a6ef4a99049f325f70
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