Instructions to use AnonymousCS/populism_classifier_bsample_396 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_396 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_396")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_396") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_396", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 083e51a06c0bad34de4da0ac9e7e807dd560985cd43a6878caa3cb060845a437
- Size of remote file:
- 2.3 GB
- SHA256:
- 080626d1a6d2cd868baf7035bbe58e56cd1c2261898cac63da114ec26a919f27
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