Instructions to use AnonymousCS/populism_classifier_bsample_017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_017 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_017")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_017") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_017", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d04cf5553b75e66a9f92c5cf691ac74fb8b8580a0b2f579521b650931d908a5a
- Size of remote file:
- 5.43 kB
- SHA256:
- 0f097b1052a369927e8dbfa69b5b2010c648b526991d434736ab4b1d65d0c080
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