Instructions to use AnonymousCS/populism_classifier_bsample_302 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_302 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_302")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_302") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_302", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35649cb2c169d125911ec2d95a256885aaabd9af72a660fbcc1317da71c58bb3
- Size of remote file:
- 433 MB
- SHA256:
- 4c1b84700f080cd08682c1da2731759209e8a1c99e8f9139fd43b3f7a7a61744
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