Instructions to use AnonymousCS/populism_classifier_bsample_331 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_331 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_331")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_331") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_331", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cce01198da600911e0f751bbbef78b5b8eb21177077f929c9729b2ace5fd5ae1
- Size of remote file:
- 5.43 kB
- SHA256:
- fc8a0bf4715146c1705e69172bdf2c93127310dec4b5251b3d346805f615321f
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