Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_227 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_227 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_227")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_227") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_227", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad79114d84c63afccdfd3ba1242cc68c1a9669f34e018dbc7ee22d0d5d83ca06
- Size of remote file:
- 5.43 kB
- SHA256:
- 3c1cff163bbeb0c34bda4ae1caeee70b3c5aa96f1dc62878838c9c00850280e6
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