Instructions to use AnonymousCS/populism_classifier_bsample_170 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_170 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_170")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_170") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_170", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b43151cf91fa576ffbf5f7b87ce21a2009fd9bc235916cc106b036f357308005
- Size of remote file:
- 5.43 kB
- SHA256:
- 6ff1b78c0a5b07ed7aaebcb906c86faa89968b819e1588286faa2351494e34fc
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