Instructions to use AnonymousCS/populism_classifier_bsample_367 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_367 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_367")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_367") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_367", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ce4e4b486210b4e3fbaadfed2a5e958b210989f5ec4cee1e7de2531629f33b8
- Size of remote file:
- 5.43 kB
- SHA256:
- a4f5b173a5c66facbb3fa9a01fe2a308594c033e35239a1f5c8abf5dadfb276b
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