Instructions to use AnonymousCS/populism_classifier_bsample_338 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_338 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_338")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_338") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_338", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b18135de857e39f55afda62d67e94809b496222a3d5c6863e78d11a9b0abc3c1
- Size of remote file:
- 1.33 GB
- SHA256:
- 1490608364b20f84f479cb2027ad655d380497129b56493e82fc5aa6c2052782
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