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+ ---
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+ language: zh
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+ tags:
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+ - sentiment-analysis
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+ - pytorch
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+ widget:
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+ - text: "房间非常非常小,内窗,特别不透气,因为夜里走廊灯光是亮的,内窗对着走廊,窗帘又不能完全拉死,怎么都会有一道光射进来。"
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+ - text: "房间干净,床垫和被子都很舒服。"
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+ - text: "很好,干净整洁,交通方便。"
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+ ---
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+
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+ # Note
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+
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+ BERT based sentiment analysis, finetune based on https://huggingface.co/IDEA-CCNL/Erlangshen-Roberta-330M-Sentiment .The model trained on hotel human review chinese datasets.
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+
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+ # Usage
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline
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+
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+ MODEL = "tezign/Erlangshen-Sentiment-FineTune"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(MODEL)
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+
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+ model = AutoModelForSequenceClassification.from_pretrained(MODEL, trust_remote_code=True)
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+
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+ classifier = TextClassificationPipeline(model=model, tokenizer=tokenizer)
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+
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+ result = classifier("很好,干净整洁,交通方便。")
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+
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+ print(result)
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+
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+ """
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+ print result
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+ >> [{'label': 'Positive', 'score': 0.989660382270813}]
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+ """
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+ ```