Instructions to use AnonymousCS/populism_classifier_bsample_415 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_415 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_415")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_415") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_415", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ebd14103489ae82933068fe9270e427dda4f7c2f04a989abf5549343d0e359f
- Size of remote file:
- 5.43 kB
- SHA256:
- 76cb5ff248fd63faf670157cdba5be8ebfe72f5b977bef9884350c678d12bf28
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