Instructions to use AnonymousCS/populism_classifier_bsample_327 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_327 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_327")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_327") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_327", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a6f3e4279abd5a552072a4eb402f760ce8cdd3a1eee5eaefc281cb7d00f09c8
- Size of remote file:
- 5.43 kB
- SHA256:
- 2933ca3ac9c93a529744677419ac14a9fd9bebba38308c9bb1a4bdfd806d5a6f
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