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:
- e7b3e9daf7b00fc194486813f3ed2835e0885d1a90f8b5f1e904ae24f8cb2690
- Size of remote file:
- 272 MB
- SHA256:
- 37c923cd14b0becb56deac66a91316eff4fe52b8841a3813da1ce73bbddfe1a8
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