Instructions to use AnonymousCS/populism_classifier_bsample_016 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_016 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_016")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_016") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_016", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3e7f354d0984860520909abdb663b8dc9522ab233cc289a7176505d4891c5b5
- Size of remote file:
- 5.43 kB
- SHA256:
- 4f6571af51539b1d7d9e68050fcea74e6efb7dc5e241d7b77169d3ea058b0374
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