Instructions to use AnonymousCS/populism_classifier_bsample_311 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_311 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_311")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_311") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_311", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22ee561688189889aa2ac6cb2134e550884a98d0de745aed7b52b61e6449b466
- Size of remote file:
- 5.43 kB
- SHA256:
- 928c5ff7c6a6419aca00ec0e93e082977f2dbb103c80de200c67ca9b4e1cc679
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