Instructions to use nahyeonkang/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nahyeonkang/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nahyeonkang/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nahyeonkang/classifier") model = AutoModelForSequenceClassification.from_pretrained("nahyeonkang/classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed200d0b2fbe2794c50297df8d6ac5fd588d9819b9724676981102c2d6bf8951
- Size of remote file:
- 443 MB
- SHA256:
- 4c9a3d5df307c0c2479ecbddd51887f526044efe15ccdb7997d54f507aa7deab
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