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:
- 51cdbb2aec793a60de52e7890c5d499fb8286e7a98f7fd987d1784211f7868f7
- Size of remote file:
- 272 MB
- SHA256:
- 6c6745e1b88042840ffe9d70669672b90b7bd0143adf9116a32517b7a3b710a8
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