Instructions to use AnonymousCS/populism_classifier_bsample_171 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_171 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_171")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_171") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_171", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a925e6828479d9c030fa5555b6787f663e0cd8396fc00b593268df818974296
- Size of remote file:
- 5.43 kB
- SHA256:
- 9b61a0532da3da3f37a16449cb443da8ef82d70e5db1925fa516a6d3378aa3c9
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