Instructions to use AnonymousCS/populism_classifier_bsample_048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_048")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_048") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_048", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fbef65cb5cebe107e60868a5d77ad1cfee9d66e2b94057afa1795fa384e2572
- Size of remote file:
- 669 MB
- SHA256:
- c55691bb6ae249fed8362f67250595450abedb4f796e84a3b5a89ee3c1596f22
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