Instructions to use AnonymousCS/populism_classifier_bsample_335 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_335 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_335")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_335") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_335", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 017d0da1990944b11392687b0ccd9ade9ea0cc8cc87922edb0a4a721071842ee
- Size of remote file:
- 5.43 kB
- SHA256:
- 3de0e2a10e912da07c6f69fb1269a5ff50e7e5c2f6c3b1a299b1fc7c13098ad3
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