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:
- 29c31220106f31f355bb330df11f19a30c42e1a621f0f36a32fda0848aa7e5fa
- Size of remote file:
- 5.43 kB
- SHA256:
- 8b82104967e3940939f1c99aaefb6b2cff1a4ee1a73bfc1bd45d00969dda27d7
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