Instructions to use AnonymousCS/populism_classifier_bsample_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_384")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_384") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 855c96b4cbf81dea69c2d31616235585ae44b0a3b9b19808006d9509318387d1
- Size of remote file:
- 1.34 GB
- SHA256:
- 5c3ef3622b01a9f52e2687379dede6a46bcbe00bcf9fdbab0a985d25b8436fa8
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