Instructions to use AnonymousCS/populism_classifier_bsample_346 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_346 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_346")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_346") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_346", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7213d4b18385c883e02033622623a3b2c800a3d39f22525bb2f098be03c99aed
- Size of remote file:
- 438 MB
- SHA256:
- bc7d1a60298afc8f91332e07efaafdbc5fbf9f57d0cb86a9e5ca1b3d01ba3679
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