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:
- 20caf3b74afadb1574d7ec3328054f7baec293ad7654eb3334b1a6a158175b1b
- Size of remote file:
- 544 MB
- SHA256:
- e7a31f82361d47e6792deb93ba696a37252832505730fc7422506dd1bb2a7cc7
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