Instructions to use AnonymousCS/populism_classifier_bsample_362 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_362 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_362")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_362") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_362", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 751890b85949eecbcadce3eebba57dfb70b80d631a55977e6da9d55b18934fb9
- Size of remote file:
- 5.43 kB
- SHA256:
- c61870841b5604426843f72db38a9df18e6bb2eb5fb94ba63989b1ab8e3c92a2
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