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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1516d1e5383adad0a486b9c7f605d537598b70f13967d2b0bc50eff02bde467
- Size of remote file:
- 4.09 kB
- SHA256:
- 2076303f5c2253e9f6a78a9358a1830fd500478d776789e1477687a3d6967518
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