Instructions to use AnonymousCS/populism_classifier_bsample_295 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_295 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_295")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_295") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_295", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88b16440b12033df5a8994b55ad6e9a10604d3923957a95b60604179f04a5764
- Size of remote file:
- 433 MB
- SHA256:
- 9ca4e7f4411fbfe79e0550271bbd8f085899a5169c9156f680d54cc26add21cd
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