Instructions to use AnonymousCS/populism_classifier_bsample_052 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_052 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_052")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_052") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_052", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38b755dd88645219d91c567ab23faf86ff053ac0579a32f65b0884fde3143071
- Size of remote file:
- 669 MB
- SHA256:
- b7a63ce4380fc365914ed4c43f48d0a138e5c4ac5e62a526e07ee91ee684b2c5
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