Instructions to use AnonymousCS/populism_classifier_bsample_132 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_132 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_132")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_132") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_132", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dddd951400781555e89f4dba15d472d0be82c46b71e7ac6284f61467b478368c
- Size of remote file:
- 5.43 kB
- SHA256:
- 867af0e73212817749f1912afa825d03131d988689585150d5da8cebc8831f22
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