Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_252 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_252 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_252")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_252") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_252", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db1e9518f131a5323a814c34a2f2856aec640dc36dd692c621711e4e51e052b3
- Size of remote file:
- 499 MB
- SHA256:
- 8889c85bcd24323b98598457d54cbfc43381f7cf490899ccd73ad1fbd2f6ba8b
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