Instructions to use AnonymousCS/populism_classifier_bsample_162 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_162 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_162")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_162") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_162", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed8f8ad3709416d118531f23fb6e03c41545cc5e66e2b1e74b82a5fe854f3d15
- Size of remote file:
- 5.43 kB
- SHA256:
- a76a4242f1cd9c92f9e4de2d3c7eca6dcb5fbc7afde698c84d6df3a52ec89a9b
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