Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_084 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_084 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_084")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_084") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_084", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 628a4a4ed98786536e80e1a54080e83e8bec6e20bbb0e66b5a0872a37c895507
- Size of remote file:
- 5.43 kB
- SHA256:
- db6ac2c82de54fb154006a1e0f5adbe272abefe2e45bb1b22c8b9a6598586725
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