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Create README.md

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+ - Input: MFCC 13ch, length 100 → shape (B, 13, 100)
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+ - Delta: (X - mean) / (std + 1e-8)
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+ - Labels: see `labels.json` (index ↔ label 1:1)
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+
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+ ## Usage
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+ ```python
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+ import json, torch, numpy as np
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+ from huggingface_hub import hf_hub_download
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+ from importlib.machinery import SourceFileLoader
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+
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+ repo = "<USER>/audio-emotion-pytorch"
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+ w = hf_hub_download(repo, "pytorch_model.pth")
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+ m = hf_hub_download(repo, "model.py")
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+ lab = hf_hub_download(repo, "labels.json")
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+
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+ labels = json.load(open(lab, encoding="utf-8"))
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+ Model = SourceFileLoader("amodel", m).load_module().PyTorchAudioModel
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+
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+ model = Model(num_labels=len(labels)).eval()
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+ state = torch.load(w, map_location="cpu")
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+ model.load_state_dict(state)
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+ # x: tensor (1,13,100) → probs = softmax(model(x), dim=1)