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:
- 344c8dcdcb3a99a7ae5112e0a2449cfa12c805563156856395bcecf7ce19ce59
- Size of remote file:
- 669 MB
- SHA256:
- 296e92e2214f3f6de1f74a0e4eab521b5f3738e349762ac8a7ae34600437a2c8
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