Feature Extraction
Transformers
Safetensors
PyTorch
cmekg_gnn
graph-learning
gatv2
knowledge-graph
medical-kg
chinese-medical
contrastive-learning
pyg
Instructions to use MaxinT23/CMeKG-JK-GATv2-Text2KG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaxinT23/CMeKG-JK-GATv2-Text2KG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MaxinT23/CMeKG-JK-GATv2-Text2KG")# Load model directly from transformers import CMeKGText2KG model = CMeKGText2KG.from_pretrained("MaxinT23/CMeKG-JK-GATv2-Text2KG", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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