Instructions to use AnonymousCS/populism_classifier_bsample_352 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_352 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_352")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_352") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_352", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f27a9cad66cf892020fb1cd79326341b26ad4c24205707111cdf3e4459c6a788
- Size of remote file:
- 5.43 kB
- SHA256:
- 6da0a5410c80debb527feed1fb32fd697f0451cfc53854f8270bc68062b95e4c
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