Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_079 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_079 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_079")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_079") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_079", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9960b9a476bf6928dc5da3261d60cbea529f61f5ea1861e97b361b1e96c11cf8
- Size of remote file:
- 5.43 kB
- SHA256:
- 78161902c9ea010ad9caa7b69398088d547bd962689d733e65dd5347a23ace5e
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