Instructions to use AnonymousCS/populism_classifier_bsample_404 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_404 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_404")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_404") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_404", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 537b9045e7f0bdab1dd7fca7f86e9146c0ee922be0ff270e34c8a77a96096410
- Size of remote file:
- 5.43 kB
- SHA256:
- 52002abd60a7fd24f2d7f95be0cfcb0d14b89d353a606096515d6336eea8d7a5
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