Instructions to use AnonymousCS/populism_classifier_bsample_020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_020")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_020") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_020", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af3068441ea711947495dcdb44ba4d401177df18dfbddc405f29aa6f74efe6a4
- Size of remote file:
- 5.43 kB
- SHA256:
- 0250e4822f95c78ba1707371ee15e3a3c833a4d7679b839f103c807859fe5ff8
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