Instructions to use AnonymousCS/populism_classifier_393 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_393 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_393")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_393") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_393") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c13f6b78af52704f647b2879c50789ba120700b7287f95f34bc55010436acf4
- Size of remote file:
- 5.43 kB
- SHA256:
- faf11a0e9c247b465fbb252135b5ef877e8d6ad17be86debff1da68317c00ab3
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