Instructions to use AnonymousCS/populism_classifier_bsample_402 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_402 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_402", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_402") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_402", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f32bf17538e0e226a36cb75df02346b4535f422186f8b7ae0d06df72af67985e
- Size of remote file:
- 2.3 GB
- SHA256:
- fcaa089c5ac27ffd162b8d13fd0ffa8e5a63ae98ae8d6c5e9423d31922d28e72
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