Instructions to use jiang-cc/AD-Copilot-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiang-cc/AD-Copilot-Thinking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jiang-cc/AD-Copilot-Thinking", trust_remote_code=True)# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("jiang-cc/AD-Copilot-Thinking", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
67ef89b | 1 2 3 4 5 6 7 | {
"auto_map": {
"AutoProcessor": "modeling_yangjian.YangJianProcessor"
},
"processor_class": "YangJianProcessor"
}
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