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
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## Introduction
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G2PTL-1: A Geography-Graph Pre-trained model for address.
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## Model description
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## Introduction
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G2PTL-1: A Geography-Graph Pre-trained model for address.
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This work is the first version of G2PTL (v1.0)
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## Model description
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