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:
- 564c68e10055598e49d76ac6b7dbd18de019d65e1ae1a4f5206c366d81c43b8c
- Size of remote file:
- 272 MB
- SHA256:
- 989aaf38a1231f8915c0cd9f0dcf26a4615c0f205053a5b8146b2d46e79eac9f
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