Point Space to org-owned interpreter model
Browse files
README.md
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| Model | Description |
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| [Yatsuiii/brain-connect-gcn](https://huggingface.co/Yatsuiii/brain-connect-gcn) | Adversarial Brain Mode Network — 20-model LOSO GCN ensemble, AUC 0.7298 cross-site |
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## Pipeline
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| Model | Description |
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| [Yatsuiii/brain-connect-gcn](https://huggingface.co/Yatsuiii/brain-connect-gcn) | Adversarial Brain Mode Network — 20-model LOSO GCN ensemble, AUC 0.7298 cross-site |
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| [lablab-ai-amd-developer-hackathon/asd-interpreter-merged](https://huggingface.co/lablab-ai-amd-developer-hackathon/asd-interpreter-merged) | Qwen2.5-7B fine-tuned clinical interpreter — generates natural language reports from saliency scores |
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## Pipeline
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app.py
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# ── LLM (Qwen2.5-7B fine-tuned on AMD MI300X, served via vLLM on MI300X) ───
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_VLLM_URL = os.environ.get("VLLM_BASE_URL", "")
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_LLM_MODEL = "
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_HF_TOKEN = os.environ.get("HF_TOKEN", "")
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# Pre-generated reports for demo subjects (instant display, no LLM latency)
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# ── LLM (Qwen2.5-7B fine-tuned on AMD MI300X, served via vLLM on MI300X) ───
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_VLLM_URL = os.environ.get("VLLM_BASE_URL", "")
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_LLM_MODEL = "lablab-ai-amd-developer-hackathon/asd-interpreter-merged"
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_HF_TOKEN = os.environ.get("HF_TOKEN", "")
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# Pre-generated reports for demo subjects (instant display, no LLM latency)
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