Instructions to use AnonymousCS/populism_classifier_bsample_359 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_359 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_359")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_359") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_359", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e36753687b802f36add5a4b2565f1c7a0ee3267e750ad51c54bde0113ca1a248
- Size of remote file:
- 438 MB
- SHA256:
- c128cc8a19bc139a3adae19a59f6cc6eff4d594dc040b867c76d388f076dc4e3
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