Instructions to use CLMBR/superlative-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17bc36840ace6f0e3d20429e0b209a7450141c5a67a9be3295b3edc872e3b96b
- Size of remote file:
- 544 MB
- SHA256:
- e8145b80e70384261acc3b6f10f4f352f6afb6ce7cdf8e73a3c29b4e0c557dae
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