Instructions to use AnonymousCS/populism_classifier_bsample_178 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_178 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_178")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_178") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_178", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10028b5f0b1090a1e144860509b30f5ba152223a703f50759f203f30e5724d07
- Size of remote file:
- 5.43 kB
- SHA256:
- 9d3eb87aa471e0d2ef92b871b68ab842018be85ffd471c33c8329364c35358c2
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