Instructions to use AnonymousCS/populism_classifier_bsample_018 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_018 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_018")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_018") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_018", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39efa99891a9c19ebad62af081dc9db61a9ffb3b9b02d00cec5a38e37df45156
- Size of remote file:
- 711 MB
- SHA256:
- 7af4633b1172f1d05afeac1db0d32d91ee7aa9e06a3b347298500d8b55688638
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