Chinese text emotion classifier small Large version(560M):Johnson8187/Chinese Emotion 大參數版本模型（560M）：Johnson8187/Chinese Emotion 📚 Model Introduction This model is fine tuned based on the MoritzLaurer/mDeBERTa v3 base mnli xnli model, specializing in Chinese text emotion analysis . Through fine tuning, the model can identify the following 8 emotion labels: Neutral tone Concerned tone Happy tone Angry tone Sad tone Questioning tone Surprised tone Disgusted tone The model is applicable to various scenarios, such as customer service emotion monitoring, social media analysis, and user feedback classification. 📚 模型簡介 本模型基於MoritzLaurer/mDeBERTa v3 base mnli xnli 模型進行微調，專注於 中文語句情感分析 。 通過微調，模型可以識別以下 8 種情緒標籤： 平淡語氣 關切語調 開心語調 憤怒語調 悲傷語調 疑問語調 驚奇語調 厭惡語調 該模型適用於多種場景，例如客服情緒監控、社交媒體分析以及用戶反饋分類。 🚀 Quick Start Install Dependencies Ensure that you have installed Hugging Face's Transformers library and PyTorch: Load the Model Use the following code to load the model and tokenizer, and perform emotion classification: 🚀 快速開始 安裝依賴 請確保安裝了 Hugging Face 的 Transformers 庫和 PyTorch： 加載模型 使用以下代碼加載模型和分詞器，並進行情感分類： Dataset The fine tuning dataset consists of 4,000 annotated Traditional Chinese emotion samples, cove…
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