Instructions to use AnonymousCS/populism_classifier_bsample_307 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_307 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_307")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_307") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_307", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8838ae01be955b1e19a25e0750ea80c76861c453e3d5ed6c7f527e006119ba3
- Size of remote file:
- 5.43 kB
- SHA256:
- 418867239a6c3c18dd635a49a3a0fb5dc17c64b135d5748e6379e6dda14af707
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