Instructions to use CLMBR/superlative-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfef40b9a9bc9b6b92792c2cdc5a2b0accec61bd90c6656775ff7d641b8727db
- Size of remote file:
- 272 MB
- SHA256:
- f2f80243b619dc16885eb4e06138ce6b529318707c01a939d6639b7a0b67af03
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