Instructions to use AnonymousCS/populism_classifier_bsample_289 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_289 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_289")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_289") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_289", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ba8924c31be3e8a40401d248c2bc1502a2b31dd96f2f15855bcfb429259ec15
- Size of remote file:
- 433 MB
- SHA256:
- 1f149f396ad5d31a57e7aa3e127b4f7d7f4bb18625a4b8c7864b731f9a9a50ca
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