Instructions to use AnonymousCS/populism_classifier_bsample_135 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_135 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_135")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_135") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_135", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 429a5c3834e2266c35c53aee9b54827f8894d8db1abd01c2f6ba925eb03ffe50
- Size of remote file:
- 5.43 kB
- SHA256:
- 7b57a1cc2d501a71a57f160436ef4a854f759a665eb62780d5f8cdb43c81cc02
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