Instructions to use AnonymousCS/populism_classifier_bsample_167 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_167 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_167")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_167") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_167", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59968d5a9c933ed9283ff083ca494a3b5cdb0b7c0ce6be6fb6b451d2802a0ed7
- Size of remote file:
- 5.43 kB
- SHA256:
- 41c665ad7b8a5644e7872292a81a542b5db9f90117cc945d06fe2ae464e3bc50
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