Instructions to use AnonymousCS/populism_classifier_bsample_370 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_370 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_370")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_370") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_370", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6c6ac07c4de10d63dbf401f28444deb5700d7cdefef3d7e5a6fdc269e05e05b
- Size of remote file:
- 5.43 kB
- SHA256:
- 721dd2db37ee3ba8465c89e0e34a33ea348e4fd1fef27f1c21879e95dd5a353d
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