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README: remove references to files not in the GitHub repo (root requirements.txt, smoke_train.py)

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  1. README.md +3 -9
  2. README_zh.md +2 -8
README.md CHANGED
@@ -150,10 +150,10 @@ We provide a standalone inference script [`infer_xaut.py`](https://github.com/X-
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  python -m venv .venv
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  source .venv/bin/activate
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  # Install the PyTorch/torchaudio build for your accelerator first, then:
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- pip install -r requirements.txt
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  ```
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- Validated dependency versions are pinned in [`requirements.txt`](https://github.com/X-AuT/X-AuT/blob/main/requirements.txt). The repository does not pin PyTorch because CUDA, PPU, and CPU environments require different vendor builds.
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  ### Quickstart
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@@ -220,13 +220,7 @@ cd xaut-ft-simple
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  bash run_ft.sh
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  ```
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- Before preparing a dataset, return to the repository root and validate model loading, audio preprocessing, forward/backward, and one optimizer step with the generated license-free sample:
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-
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- ```bash
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- python xaut-ft-simple/scripts/smoke_train.py --device-type cuda
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- ```
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-
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- The recorded PPU code-path check and its explicit full-checkpoint boundary are documented in [`xaut-ft-simple/VALIDATION.md`](https://github.com/X-AuT/X-AuT/blob/main/xaut-ft-simple/VALIDATION.md).
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  ## 📁 Checkpoint
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  python -m venv .venv
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  source .venv/bin/activate
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  # Install the PyTorch/torchaudio build for your accelerator first, then:
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+ pip install transformers qwen-asr huggingface_hub
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  ```
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+ The repository does not pin PyTorch because CUDA, PPU, and CPU environments require different vendor builds.
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  ### Quickstart
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  bash run_ft.sh
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  ```
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+ For the recorded PPU code-path check and its explicit full-checkpoint boundary, see [`xaut-ft-simple/VALIDATION.md`](https://github.com/X-AuT/X-AuT/blob/main/xaut-ft-simple/VALIDATION.md).
 
 
 
 
 
 
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  ## 📁 Checkpoint
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README_zh.md CHANGED
@@ -128,10 +128,10 @@
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  python -m venv .venv
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  source .venv/bin/activate
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  # 先安装与本机加速卡匹配的 PyTorch/torchaudio,再执行:
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- pip install -r requirements.txt
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  ```
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- 已验证的上层依赖版本记录在 [`requirements.txt`](https://github.com/X-AuT/X-AuT/blob/main/requirements.txt) 中。仓库不固定 PyTorch 版本,因为 CUDA、PPU 与 CPU 环境需要不同的厂商构建。
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  ### 快速开始
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@@ -198,12 +198,6 @@ cd xaut-ft-simple
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  bash run_ft.sh
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  ```
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- 准备真实数据前,请回到仓库根目录,并用自动生成的无版权合成音频验证模型加载、音频预处理、前向/反向传播和一次优化器更新:
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-
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- ```bash
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- python xaut-ft-simple/scripts/smoke_train.py --device-type cuda
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- ```
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-
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  已执行的 PPU 训练路径验证及“未验证完整权重”的边界说明见 [`xaut-ft-simple/VALIDATION.md`](https://github.com/X-AuT/X-AuT/blob/main/xaut-ft-simple/VALIDATION.md)。
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  ## 📁 检查点
 
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  python -m venv .venv
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  source .venv/bin/activate
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  # 先安装与本机加速卡匹配的 PyTorch/torchaudio,再执行:
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+ pip install transformers qwen-asr huggingface_hub
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  ```
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+ 仓库不固定依赖与 PyTorch 版本,因为 CUDA、PPU 与 CPU 环境需要不同的厂商构建。
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  ### 快速开始
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  bash run_ft.sh
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  ```
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  已执行的 PPU 训练路径验证及“未验证完整权重”的边界说明见 [`xaut-ft-simple/VALIDATION.md`](https://github.com/X-AuT/X-AuT/blob/main/xaut-ft-simple/VALIDATION.md)。
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  ## 📁 检查点