Instructions to use AnonymousCS/populism_classifier_bsample_349 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_349 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_349")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_349") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_349", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fc31e45dd71ddb10025cf32244c4d4ad9a953c3afdce0eadaf62013869b49ff
- Size of remote file:
- 5.43 kB
- SHA256:
- ef088e5da106bbbf5b661cd95f6fa84f46d1ec2c2e78521532aadf21aa8bd5db
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