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:
- 4efd98ecda8f686e82222307fe9f8229c2fe1e797787b09ef1058f7e5f21bb9c
- Size of remote file:
- 5.43 kB
- SHA256:
- bd65e0a23282af9fc8c4f8b399749328c4ca09d9b1b6b93835059fd7d0879bb9
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