Instructions to use AnonymousCS/populism_classifier_bsample_030 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_030 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_030")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_030") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_030") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea55898cc3c9823153eb6eee7f68d8cc98bc88a5675a847d35f01c8d8f56d2ac
- Size of remote file:
- 669 MB
- SHA256:
- 5dafbaec95e874cc691e81d3ae9cf37420ff912583643ee5c920e031cf218025
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