Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_247 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_247 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_247")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_247") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_247", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 873f5cbf7caaa31962e55084cb782b4d451258b8804c810095e297c439b03e28
- Size of remote file:
- 5.43 kB
- SHA256:
- 65be45cc74337f5883575492c690772320030a370df27d157d0d2d5679c2a021
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