Instructions to use AnonymousCS/populism_classifier_bsample_163 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_163 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_163")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_163") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_163", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66219688a0ac4a470f3ede96a860032a66e9ed3b2e9ac15659d53691f8f2a6b3
- Size of remote file:
- 5.43 kB
- SHA256:
- ea3f9b49bdbe19182b29bb73a2db7241eeb2c31403339c3e8b68ae84c57bfb96
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