Instructions to use AnonymousCS/populism_classifier_bsample_170 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_170 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_170")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_170") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_170", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62b6d97ad8975a69ca5fbae1e564e2518ef80941353d98fc99ce06e9a0faf23b
- Size of remote file:
- 669 MB
- SHA256:
- 6c0f378f7fd43eeab34890179f79fb18f6e48022b99767cd141416869e1d222a
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