Instructions to use SALT-NLP/CultureBank-Controversial-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SALT-NLP/CultureBank-Controversial-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SALT-NLP/CultureBank-Controversial-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SALT-NLP/CultureBank-Controversial-Classifier") model = AutoModelForSequenceClassification.from_pretrained("SALT-NLP/CultureBank-Controversial-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b4615f184ad748a8e0b99b00c83d4a95f42908fb9ab336f8b235e8c4cff9018
- Size of remote file:
- 5.05 kB
- SHA256:
- 0fbe9b38bf17a8ade4c5094d5cd61a94588699f019d674d1eefbba9934ced957
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