Instructions to use AnonymousCS/populism_classifier_bsample_172 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_172 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_172")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_172") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_172", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e4c710c38ff727f50333efc6580ebc748c561c8c547acfebc8ffab01226d107
- Size of remote file:
- 5.43 kB
- SHA256:
- b258c1ceb01301795e453bd58b25b81e0d09ba142ac5d106025d7801dab9c811
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