Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_203 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_203 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_203")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_203") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_203", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4034bd551c6358af03e2f46995263dd60fd73f175d21a4b496ab7b764c13804
- Size of remote file:
- 5.43 kB
- SHA256:
- 73945b22b65a65c2c8f30f978a24738eb0ec94de9392d24e361121ac27803c56
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