Instructions to use AnonymousCS/populism_classifier_bsample_008 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_008 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_008")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_008") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_008", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 262928c289f78289ec10a6546c944598a933013357503fc49ca232a5ade29906
- Size of remote file:
- 711 MB
- SHA256:
- a19d4301588a470b6968467fa8f3816fc742f4ab3ec813aafee12756c2aae106
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