Instructions to use AnonymousCS/populism_classifier_bsample_336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_336 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_336")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_336") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_336", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f81cfa16b4f806fbb70d47c9d3694250f97789e480b631c5abdbfb0f2f350d3
- Size of remote file:
- 1.33 GB
- SHA256:
- b9a71bd5235c8e4137ea29a450168394e2b27baa8e5b403c4485f6f111a89fce
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