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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca804954822c4045e3c3a18c7541d4bd9c7eb5b7b044671dc8f3ee818e936db8
- Size of remote file:
- 272 MB
- SHA256:
- a6c40c58e461b51a508f2421bb33fbb5c3f41457156cff984b400cad34461e41
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