Instructions to use AnonymousCS/populism_classifier_bsample_004 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_004 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_004")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_004") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_004", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c09609bf67131481a4b45c786097647277cd00291a4b139f4c33854d7404c8ce
- Size of remote file:
- 711 MB
- SHA256:
- fac0481e24fdea835c9d6546579aa353ffe8ec6f82e16ee24dfc1d48140d9558
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