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:
- 69d3b72c40891d5d39706f373d5cb710d8638f797f07df9684b2250db2640170
- Size of remote file:
- 4.28 kB
- SHA256:
- 2828fb9a9530352495a6121077e0f313a7c49c7c526a12715f10e33cbada8645
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