Instructions to use AnonymousCS/populism_classifier_bsample_050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_050 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_050")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_050") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_050", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3898a2966740812fdfcbc406e837e4651b5447428eaf09356fd2ededfb66b2b
- Size of remote file:
- 5.43 kB
- SHA256:
- 3e4db647c1fe23a5e236c64c8cafd8ce4b3ff90af2bcd7a081ca556b488d5ce8
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