Instructions to use AnonymousCS/populism_classifier_310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_310 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_310")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_310") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_310", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ab8cf5d408f5e2ccaf8d6b1a9d43eaae3b263c0280adb3ea1556c7d83abc223
- Size of remote file:
- 5.43 kB
- SHA256:
- 9dc1bf4995eea3b2d9eea5db260d24e88399367a482bacabd8f267b810d9d709
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