Instructions to use AnonymousCS/populism_classifier_bsample_326 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_326 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_326")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_326") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_326", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6204a79fc4bcf02f2bf4f7f76016fb36329aa2ab7c8f19953993aabe81fb8e30
- Size of remote file:
- 1.33 GB
- SHA256:
- ed2741f6a6715157c28e2a71589de99f229a5efa703de1a40fec5b5e8116ce97
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