Instructions to use AnonymousCS/populism_classifier_bsample_025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_025")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_025") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1359e4f4c31f63b9995a6a2f1cb083b66d6e9b3321e8b37d43cf5e81785bce13
- Size of remote file:
- 711 MB
- SHA256:
- 2d330928b2813dabc7c3c4a0a63b1338ef4618db5d5a1835ef3a8f26b67ffb5d
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