Instructions to use AnonymousCS/populism_classifier_bsample_166 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_166 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_166")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_166") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_166", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 400593f3b7205b9b18c8ea8e9987539cb03efe96e743415301009e1c11f39088
- Size of remote file:
- 5.43 kB
- SHA256:
- a1a47dd5c2a6e6a2f975c4fd8b015a9031eb44a06048a2da136d2f0cf3f0e973
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