Instructions to use AnonymousCS/populism_classifier_bsample_297 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_297 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_297")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_297") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_297", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fba3445c45aea068a1b02857de76f4486b96deab9b0e0f6a06ada5cc89493e58
- Size of remote file:
- 5.43 kB
- SHA256:
- ecad2e62377c54508188728350e0a2c1508a4a99379f91f8438a88f4ae34b900
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