Instructions to use AnonymousCS/populism_classifier_bsample_008 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_008 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_008")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_008") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_008", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c513b026064d37ac0b06c817848fe7afd1f5533a88800c4dad08b751fe8806f
- Size of remote file:
- 5.43 kB
- SHA256:
- 6e8e3e9c9066b55c674b9e3c3a6147a63373bcf5e19d278e55eedcab7a2ef3c3
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