Instructions to use certainstar/Trained-Chinese-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use certainstar/Trained-Chinese-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="certainstar/Trained-Chinese-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("certainstar/Trained-Chinese-classification") model = AutoModelForSequenceClassification.from_pretrained("certainstar/Trained-Chinese-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbbe303c48b991345d941ead69903c2920f8fb24c97f5b37a2d07744a7805632
- Size of remote file:
- 818 MB
- SHA256:
- f8aeca89fccb7eb1a76cd735bcb387a4ae2e513f996c338ae60434d4580dc6c2
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