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:
- e565f031809b98cbc79d11fb23640606e786af95959945ce52b8530d56ed12e3
- Size of remote file:
- 4.28 kB
- SHA256:
- c19a8afc27e06a26f4b77c7e49e5be72706177a6746533e1b8b81faff885bc52
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