Instructions to use AnonymousCS/populism_classifier_bsample_348 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_348 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_348")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_348") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_348", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4f1c181af9a3a909ef796b185a4cc27dd934ae1e878e22b9e28bace7826094e
- Size of remote file:
- 5.43 kB
- SHA256:
- 7be426f40cb980ab64420481b9a606495e8ea3242ba5d8165762523f1301f13b
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