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:
- fdc817d7cc9ecce1511bb74f70baedfb5c9c4de2d477e41feb70fd699b3b1efe
- Size of remote file:
- 669 MB
- SHA256:
- 220263367f8125dac1bbafcfd69d6018be8f05143425fecca95e835f9bbde22c
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