Instructions to use AnonymousCS/populism_classifier_bsample_407 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_407 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_407")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_407") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_407", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 597cb5d487c78bb2974191f78494f106485c03ea85c2fbbed24fde78afd91674
- Size of remote file:
- 5.43 kB
- SHA256:
- b3cf1e6503c60b2583f0bd3de40337ae69d0fc47cca6b1e1dab2c0fb6d4e32cd
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