Download models/model_template/trainer.py from SyntheticMDProductions/AI_Development_Automation_Manager: direct link, hf CLI and curl.
- Browser
- Download file 472 Bytes
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https://huggingface.co/SyntheticMDProductions/AI_Development_Automation_Manager/resolve/refs%2Fpr%2F1/models/model_template/trainer.py
- Command line
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hf download hf://SyntheticMDProductions/AI_Development_Automation_Manager@refs/pr/1/models/model_template/trainer.py
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curl -L -o trainer.py https://huggingface.co/SyntheticMDProductions/AI_Development_Automation_Manager/resolve/refs%2Fpr%2F1/models/model_template/trainer.py
472 Bytes
| from __future__ import annotations | |
| from typing import Any | |
| def train(context, **settings: Any) -> dict[str, Any]: | |
| """Put your training implementation here. | |
| Use context.log("message"), context.progress(percent, "message"), and | |
| context.preview(path) to report back to ADAM without touching the GUI. | |
| """ | |
| context.log("Template trainer loaded. Replace this with real training code.") | |
| context.progress(100, "Template training complete") | |
| return {} | |