Instructions to use AnonymousCS/populism_classifier_bsample_331 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_331 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_331")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_331") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_331") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5cf3e571d71c69bb91ab4a40cda2211d657ad16f50252758e8d2b087fee2523
- Size of remote file:
- 1.33 GB
- SHA256:
- 799c2f7888962557b18693ee091d5ba5dfa433af72df6cc4b8b5c630d65ebbbe
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