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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoProcessor": "modeling_yangjian.YangJianProcessor" | |
| }, | |
| "processor_class": "YangJianProcessor" | |
| } | |