Instructions to use AnonymousCS/populism_classifier_182 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_182 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_182")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_182") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_182", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdecc0a9002de06b4acdac069aed4e09654ddae3772f9e78718b9c48601c843d
- Size of remote file:
- 5.43 kB
- SHA256:
- 9725956321447d7e2c6e8944f8a286b3e567f8f7702e37379cade3182811c1e8
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