Instructions to use AnonymousCS/populism_classifier_bsample_326 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_326 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_326")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_326") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_326", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28899f97811ea6c4c635e8f86abfda8a83a885371aaba6d93acb69bdfca326f5
- Size of remote file:
- 5.43 kB
- SHA256:
- e7d3ae3edaa709f85df98bc9aba788940c4ddbbeedeaf1910f95ae468467f870
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