Instructions to use AnonymousCS/populism_classifier_347 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_347 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_347")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_347") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_347", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c2680b0d2fd56655412889da0830fa4561193e637ea848168f41d4d85aa4fb7
- Size of remote file:
- 5.43 kB
- SHA256:
- ce42432786df6bb04b4bd85efd401fd9b8d0d545585b2473738217df67c61c3f
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