Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_197 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_197 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_197")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_197") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_197") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fe59674af9024bca1cea9f62134827f933a1763a7d3c3422a56b7c91ef9499a
- Size of remote file:
- 1.11 GB
- SHA256:
- c4b421d3572b3f44222e5ec782fe56d84e4bdd6ab4b8f6677b50181326618007
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