Instructions to use AnonymousCS/populism_classifier_bsample_010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_010")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_010") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_010", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8570144ab08c2551c8a5292d27b81831a9fbcc3c4becd73f565a9c7dc3c0f3c
- Size of remote file:
- 711 MB
- SHA256:
- 63346e8f44e028289f85119b24c01a72edd29d6a790a44cd30c9602e8d4ef0f2
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