Instructions to use Cainiao-AI/G2PTL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cainiao-AI/G2PTL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Cainiao-AI/G2PTL", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cainiao-AI/G2PTL", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac11d11672fbe7eb15bf026f3ef90f1312af694d7700cf7f499cb270c19ae7d9
- Size of remote file:
- 834 MB
- SHA256:
- 21e06d160d8ffddc861d52f65e07e8dbe459feb666f9f33f856a169c1a5eb244
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