Instructions to use AnonymousCS/populism_classifier_bsample_028 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_028 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_028")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_028") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_028", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68041f6941272605a5585639fddbd4dd1636143ce66bd3bc59b48ba317fcb702
- Size of remote file:
- 5.43 kB
- SHA256:
- d9e528355ddd444980da74a0dcda0734639b48fd0a67e67f3471fe1f2516d55e
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