Instructions to use AnonymousCS/populism_classifier_bsample_169 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_169 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_169")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_169") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_169", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac33961ac3a5ccf7c94ffc95d8fc13690a868614bebbb0260ca24b25cdd00df5
- Size of remote file:
- 669 MB
- SHA256:
- 8faa968714739a122640b22a041f61f0073cf719e0bbcd860d1ab88adc331b0d
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