Instructions to use AnonymousCS/populism_classifier_bsample_144 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_144 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_144")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_144") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_144", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7324c7c808fd5709f6c75a96473718b568513eed6c76104eeb78f8fc1cc3c910
- Size of remote file:
- 711 MB
- SHA256:
- 963be0bfee48bd33f6c359f01f1b4335d3377b871ddb3d07992289499bad8f0c
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