Instructions to use AnonymousCS/populism_classifier_bsample_391 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_391 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_391")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_391") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_391", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da35d700f49a487fc76c78483425d48dc5b9d94120a05f1dc7531748a1233d44
- Size of remote file:
- 5.43 kB
- SHA256:
- 8a5bdd04d8c4f87bc9aec35d4ac19561fa4d32cd97ef4835ac2a356108e66952
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