Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_258 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_258 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_258")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_258") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_258", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c05f5c498e1e91101f0ff533a8a1de7adf2c2b716d0da5149d4df7fbd0da54ae
- Size of remote file:
- 499 MB
- SHA256:
- cf590c7e02eb24f207584d266de08a08a3710118228a5e845900eaffe7a64047
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