Instructions to use AnonymousCS/populism_classifier_bsample_373 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_373 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_373")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_373") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_373", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32249a4de860b4cb50222988766c836d464f2cfd54bd40990431f329b71a957b
- Size of remote file:
- 1.34 GB
- SHA256:
- ea725a5b3843bb46ad6ee5628553f333fe9f68e5f6bc5b2e1e9bfbf502674841
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