Instructions to use AnonymousCS/populism_classifier_bsample_156 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_156 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_156")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_156") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_156", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0a8638791f9afa17e5c5de77f50382f368ac3ccd304a2884d575ca7ba1d4218
- Size of remote file:
- 5.43 kB
- SHA256:
- 91054fe6ad274068b1688eeb49eac2c9754b8b78c8e939fc597a7125bb479881
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