Instructions to use AnonymousCS/populism_classifier_bsample_364 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_364 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_364")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_364") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_364", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b3a3593c7f5f87204a52d61030cf40365fe3df88ac11547b3509064b2468efd
- Size of remote file:
- 438 MB
- SHA256:
- 740b49467ffabde48ec75ff135de0a6a7c40421499e824b0802fed3a4d0d51db
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