使用 Hugging Face AutoTrain 進行圖像分類：無程式碼的機器學習模型訓練指南
Original: Image Classification with AutoTrain
Hugging Face introduced the powerful application of its no-code and low-code platform, AutoTrain, for image classification tasks…
Hugging Face 介紹了其無程式碼平台 AutoTrain 在圖像分類任務上的應用。使用者只需上傳整理好的圖片資料集，系統便會自動進行模型選擇、超參數調優與訓練。訓練完成後，模型會直接託管於 Hugging Face Hub，並自動生成 Inference API，極大地降低了電腦視覺應用的開發門檻。
Hugging Face introduced the powerful application of its no-code and low-code platform, AutoTrain, for image classification tasks. Traditionally, training a high-quality image recognition model required writing large amounts of PyTorch or TensorFlow code, configuring GPU hardware environments, and spending considerable time on hyperparameter tuning. AutoTrain completely simplifies this process.
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