Instructions to use AnonymousCS/populism_classifier_bsample_160 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_160 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_160")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_160") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_160", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 175353214cdc109ab8e5ddf25ac9900fb635efdc4101c5dd14c365dca423c83b
- Size of remote file:
- 5.43 kB
- SHA256:
- 41a9c3c2f6a706527f46dccd33244e5e3d9b613f040f14932662e405f9a26d76
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