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:
- 6fd3eefee175307a4b1a2729f130cccb26e4382fe660bc8ac966a0814767fd2b
- Size of remote file:
- 4.28 kB
- SHA256:
- 40fd147c0148274b1e05a980342d6b94aba517a1e160efbe0b2e0aaa6e8115d1
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