Instructions to use AnonymousCS/populism_classifier_bsample_018 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_018 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_018")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_018") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_018", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 516854e65587d50872902ac51b3dea42c251432a0e90d579b7f9b33977499647
- Size of remote file:
- 5.43 kB
- SHA256:
- a0c04d17b05608e4f8d9692d6f77f5a5ed132f71ed562be9eeef2cc0fd47cd9c
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