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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfdb546862cab71b17a3316601ad20a9255312d8ac40c0ff65b0626a3eb77fe3
- Size of remote file:
- 409 MB
- SHA256:
- bffec9ef3080e8d0bddee5c22a30296b406a706fd621043bf41a17aca3d26995
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