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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cbce14da7afa06c0c3c4c38975b358054bbe3f4cdbc172efa6859ae22bcb90a
- Size of remote file:
- 4.16 MB
- SHA256:
- 9e998605c058964cd9cead64edeaecfadef6bd754c025c28b1bacb5af5fe02f3
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