Instructions to use AnonymousCS/populism_classifier_bsample_137 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_137 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_137")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_137") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_137", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb4125381185d6b415c86a1f2b65b1cdfb9d053dbd3544626eda7feccbc32b08
- Size of remote file:
- 5.43 kB
- SHA256:
- 684519ebade5106a3fdf38c8974b197b5e2bb67e8d4266871e8f85fecc3e1337
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