Instructions to use AnonymousCS/populism_classifier_bsample_181 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_181 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_181")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_181") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_181", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b836c7a2fd384b1f6a0fafd9926dcf87ef5cd26041398168b1577b4cad7d8ab
- Size of remote file:
- 5.43 kB
- SHA256:
- cac1394fed6a3a3037eedec2197540b17e7b77c78c30d5d95f6853765ba4df2d
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