Instructions to use AnonymousCS/populism_classifier_bsample_290 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_290 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_290")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_290") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_290", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad27e0579994ab452496451eb48253b89990c3113fce10aa7b1eea8398ed2736
- Size of remote file:
- 5.43 kB
- SHA256:
- 741448ffdd71b832d6860a236744b9356b4fff85b57e9905c4a6d9cfe95b4fe6
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