Instructions to use Tianduo/diffaug-sup-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tianduo/diffaug-sup-bert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("Tianduo/diffaug-sup-bert-base-uncased") model = BertForCL.from_pretrained("Tianduo/diffaug-sup-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17bb3ca7c0f563a2ae68af4d065ccb1d60d55d2c11e0f6ae82b666170437a9a4
- Size of remote file:
- 500 MB
- SHA256:
- 1dd396e2273b289f6649b2cfadff41d76d46d957707f44353fc06ffeea68cdaa
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