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:
- 35787c0e699de103b38053afb53498fe36bd0c3f8f189e6a6a7380bcc0547a76
- Size of remote file:
- 1.06 kB
- SHA256:
- b817162e973d9340d0128c9a9798824c40c72955b9e1e793b96bb5cd8acc76e7
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