Instructions to use AnonymousCS/populism_classifier_bsample_143 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_143 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_143")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_143") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_143", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d59e87acd68840303c086e0a26746c0904cc6ec8478d6fc30e24297fe4360fd1
- Size of remote file:
- 5.43 kB
- SHA256:
- 9c02fd99134eee58bfdd2e94df22b9d04ab67dc97065f7565a513c89da6cb867
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