Instructions to use AnonymousCS/populism_classifier_bsample_037 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_037 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_037")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_037") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_037", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018782aaaa86f876a8b3144fb7e8dda7aa7db531a590da7c266fa9dcb2072363
- Size of remote file:
- 669 MB
- SHA256:
- 353b26a044ce0375fa234b32efecd7fb306c411fab342252a00b407d5c844208
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