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:
- a90445a1eec45ebb877a69302a9ced4b271632e010724cb3a72d12d546b109b9
- Size of remote file:
- 14.6 kB
- SHA256:
- 8be219930ea28889f2968fcece0ab8420ba3bdbdab0ab01e148bff3d42f9eb21
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