Instructions to use CLMBR/superlative-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-0 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43b75dd2a930701020b7ce86f4dbe08b5df3971f2d7b0c6b41a25f03fae86f7e
- Size of remote file:
- 272 MB
- SHA256:
- 0e5bd471b4f8326039fd030edbaf798b19a1825b4d08332fc007d63711a06c40
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