Instructions to use AnonymousCS/populism_classifier_bsample_026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_026")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_026") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_026", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c00364478bbd73469e51552526ac1c9c169c2d4d86094037c16d809eebd39a89
- Size of remote file:
- 5.43 kB
- SHA256:
- e8a747b6c02c481c244c43180047a60acb5735bb8bbcc2d27134b8777b4945f1
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