Instructions to use AnonymousCS/populism_classifier_bsample_355 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_355 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_355")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_355") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_355", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d913e2f105e25f705f4c2301ffce8c9b043acf7c39efe26c54be323f63d56c9
- Size of remote file:
- 438 MB
- SHA256:
- f953648572efe743f40867279ba65de508b606ade64d1b9bbedf56283d2d3ad0
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