Instructions to use AnonymousCS/populism_classifier_bsample_052 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_052 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_052")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_052") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_052", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be56d479ddd2e12b0febf6b16d0d80303d1a26a1f18ebd9ddb362fcd67fcda5
- Size of remote file:
- 5.43 kB
- SHA256:
- c02eccab6c728843f0184a02fc6e34890a587f4e79d26adb7f628e071d88cadb
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