Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_186 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_186 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_186")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_186") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_186", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8da26c86daf87d734731b0fe32cdfa084445124c574bdc4fb8fccd15131678d9
- Size of remote file:
- 5.43 kB
- SHA256:
- 8f60263d1ad7ba696d23c825da4ade9a5d24c1c3d4670dfab38e95287a4fafe9
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