Instructions to use AnonymousCS/populism_classifier_bsample_317 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_317 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_317")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_317") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_317", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb42ce823e301eb709e60fd8cb94f2250c6dd449b08937928f27d193f89dc338
- Size of remote file:
- 1.33 GB
- SHA256:
- 4f2716844abe875873617371c19c5abb4c9a80bdcbcc9e6f4673c2dbab376edb
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