Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_249 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_249 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_249")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_249") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_249", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d35d49ea449b96d4d7428ae20cd1b32d8e837086587f5bc71cfdcf192145ab64
- Size of remote file:
- 5.43 kB
- SHA256:
- 16d8b917e968838231b2b725a2c4f6b7102a512245b7969c6cd980cd1401e902
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