Instructions to use AnonymousCS/populism_classifier_bsample_377 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_377 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_377")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_377") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_377", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d5ec5be590dceed58247bdf21f4c2d482202c2e920bcc3127810bd48d44c802
- Size of remote file:
- 5.43 kB
- SHA256:
- d3f5e412f4a8f60b16fb9fbfd8a7a1b07c9b58a664ded7eeae4f72a34b665aec
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