Instructions to use AnonymousCS/populism_classifier_bsample_167 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_167 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_167")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_167") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_167", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43f416f46d941b4d9ee97c3d4dfc6539719c7dd9ff11ad4a196d0c42f1a9d491
- Size of remote file:
- 669 MB
- SHA256:
- fa597c7fb58eb4a4f7ce6c834a96accb8828543934459c86807478721d6e6833
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