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:
- 168eac6dba8e9f6a0903643911bbe245fd4264813e17ba27dcb6b9b9805f0ef1
- Size of remote file:
- 272 MB
- SHA256:
- 0f688fc016e9c4a6882ba0f7844e8e7d1124c1580af2ef3ad0a4a9516c953742
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