Instructions to use clhuang/albert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clhuang/albert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="clhuang/albert-sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("clhuang/albert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("clhuang/albert-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# 繁體中文情緒分類: 負面(0)、正面(1)
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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tokenizer = AutoTokenizer.from_pretrained("Cheng-Lung/bert-sentiment")
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model = AutoModelForSequenceClassification.from_pretrained("Cheng-Lung/bert-sentiment")
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# 繁體中文情緒分類: 負面(0)、正面(1)
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# 使用範例:
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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tokenizer = AutoTokenizer.from_pretrained("Cheng-Lung/bert-sentiment")
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model = AutoModelForSequenceClassification.from_pretrained("Cheng-Lung/bert-sentiment")
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