Instructions to use LeoFeng/ChineseSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeoFeng/ChineseSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LeoFeng/ChineseSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LeoFeng/ChineseSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("LeoFeng/ChineseSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07abc3185592c9e602570e6a8c48dca83ff73118f0d8fc9eff24dfb9cd8bc4d2
- Size of remote file:
- 409 MB
- SHA256:
- 00f9601721d3d9467548b909c37830906e4e3acfcaebc0d7e6b71c6f9158e524
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