Instructions to use Tianduo/diffaug-semisup-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tianduo/diffaug-semisup-bert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("Tianduo/diffaug-semisup-bert-base-uncased") model = BertForCL.from_pretrained("Tianduo/diffaug-semisup-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62f0a56dcce4e781d05c144eb57046f2184a15b8bea6d7017c87c1a6efcab840
- Size of remote file:
- 500 MB
- SHA256:
- 6352ad57ca5a6b42cfa23c415a76cc9e512e7dda89014e4f005a701d56dcac6f
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