Instructions to use AnonymousCS/populism_classifier_bsample_379 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_379 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_379")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_379") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_379", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c6efdd2457f1f7802bed60bc73655e0e8629b182f661163047b5e1eaef5547
- Size of remote file:
- 5.43 kB
- SHA256:
- 3e1692a9435c39cbc4a987ea5852f9dfd477026254a3b5c17f68b83592e16787
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