Instructions to use AnonymousCS/populism_classifier_bsample_027 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_027 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_027")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_027") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_027", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dfc560b1a2fa1df1096c8b1c5fbac76981e3d436290ca0b6c8095f60bb9eb66
- Size of remote file:
- 669 MB
- SHA256:
- 65516e78bb2dd5039e6d16a32c36a73523533a6810d0ee2fa75eb5ddf0559314
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