Instructions to use AnonymousCS/populism_classifier_bsample_172 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_172 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_172")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_172") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_172", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06011433c6c466b1e09dac7991bb4f357cf2b55ef2e2258906a2217bb80c4fa1
- Size of remote file:
- 669 MB
- SHA256:
- 76336d286bc392f6b4e32d43eeb7063429edcc77f061db4eb8fb2e950f4c1e2d
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