Instructions to use AnonymousCS/populism_classifier_bsample_341 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_341 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_341")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_341") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_341", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b00e78113d1c43b7a7cbe70a54af38a79be826d3203da39fab38c7679a19c24e
- Size of remote file:
- 5.43 kB
- SHA256:
- 5942f93f907139f57b7f7b4ec980a5e6c5b73b77378eb71ab3e1f31cf24041c5
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