Instructions to use AnonymousCS/populism_classifier_bsample_173 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_173 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_173")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_173") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_173", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71ffd5303bb5523f76110c58bbd00910ea76deef3904ce7ae99710994d4b9981
- Size of remote file:
- 669 MB
- SHA256:
- 7be1a495ebb1a977f7ffcf670f3b0800ee2f1643de084a21cfe8bab0f6fd1433
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