Instructions to use AnonymousCS/populism_classifier_bsample_351 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_351 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_351")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_351") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_351", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fefc2666a2c34ec6413da664d1aa09006d0f3d3b4a0bbd27472955c79f594dfc
- Size of remote file:
- 438 MB
- SHA256:
- 26a2c2be761fdbb9924716f1069a74eeb7290df427209147e3cb05c01643fdad
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