Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_114 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_114 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_114")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_114") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_114", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebd91db49fd26f51528a90417b7e64475bc6f0ddf0fea3f6dbf277b6b6a1eb28
- Size of remote file:
- 5.43 kB
- SHA256:
- 57ea0ab1a4b4fc6c1a33a1c4189839bc3542cb16970eed62294e94590fe45575
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