Instructions to use AnonymousCS/populism_classifier_352 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_352 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_352")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_352") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_352", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb980558ad89c20d6f01bdbe1fd4d53587489d494647547b7aef7b067bf83428
- Size of remote file:
- 5.43 kB
- SHA256:
- 70e5b8181fc96c2e46ea720b46f52cb22b2a72198b265d5cac44a97886e49ce6
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