Instructions to use AnonymousCS/populism_classifier_bsample_339 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_339 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_339")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_339") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_339", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 866e2cb85527f5ac5f1d522f8a2364272eafad94f2559f3ec0459ea7d7d8a846
- Size of remote file:
- 5.43 kB
- SHA256:
- d8ff0e21a24ab155ae4e3575baf3ae906924cff5c329a4d34c532a27cf560e54
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