Instructions to use AnonymousCS/populism_classifier_bsample_033 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_033 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_033")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_033") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_033") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d36c78e30b08d011c802569d535031d0acd58211c155b29ecf81bae6bb2573a8
- Size of remote file:
- 669 MB
- SHA256:
- e6701b312ad381d57af973529ceb84159b3f4359922468997b224bcdca90f12c
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