Instructions to use AnonymousCS/populism_classifier_bsample_401 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_401 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_401")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_401") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_401", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 207bbc4b7830b7c9b4583fbea96067a19fcf26d2074541ca676dc0f37ef5fa81
- Size of remote file:
- 5.43 kB
- SHA256:
- 4287108c018f762f9971f46a8a132f391fb2ec74b9d8f3fb0bc817762f03be31
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