Instructions to use KAlex13/news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KAlex13/news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KAlex13/news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KAlex13/news") model = AutoModelForSequenceClassification.from_pretrained("KAlex13/news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# 预训练模型uer/roberta-base-finetuned-dianping-chinese
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# 标注数据2400条测试数据
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# 后续迭代可以继续标注数据增加正确标注数据量
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