Instructions to use IDEA-CCNL/Randeng-GAVAE-1.2B-Augmentation-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Randeng-GAVAE-1.2B-Augmentation-Chinese with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IDEA-CCNL/Randeng-GAVAE-1.2B-Augmentation-Chinese", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93b4d2394e8d81a51adcae243c2c05f26ad7ad9a7115b85c6fbb7a93bca4475b
- Size of remote file:
- 2.5 GB
- SHA256:
- a384e5c8d3d2413c0f8b4cfaf1716a280a1a2c64c28e7a31b1652c25ddddd7ba
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