Instructions to use AnonymousCS/populism_classifier_bsample_390 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_390 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_390")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_390") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_390", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70bb81eab6c8c151a1948b1950214cd9210dd3a0ebf1c21409505facba06f8d2
- Size of remote file:
- 1.34 GB
- SHA256:
- 1d57f3984395a23367a1ac7af60a4cc296b5c5f8e70319d5b65685145a42fb0e
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