Instructions to use AnonymousCS/populism_classifier_bsample_358 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_358 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_358")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_358") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_358", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fabc0764c7e4a158c18ee4c2c49770fe7f819f15e9beeb153cafb2fce40fba2
- Size of remote file:
- 438 MB
- SHA256:
- 9643a14027b8f926116e7d4a3b64dc429999e679b20c2cc309392887ca915d88
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