Instructions to use AnonymousCS/populism_classifier_bsample_323 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_323 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_323")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_323") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_323") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13bb65c4b24ca9349f30838539c8f6bf246077075dcf735be1806e0523011dc4
- Size of remote file:
- 1.33 GB
- SHA256:
- ab4327888fe0c6fb3da921095315f3addbfb39b378e4ea45c42d4c0e0929ddb1
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