Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_228 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_228 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_228")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_228") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_228", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0280a6eb6b110990d8dedd4b41e34f962ae614b7c47a8f4953d6f2d5f36fd576
- Size of remote file:
- 5.43 kB
- SHA256:
- 5e598343a55fc4d8d0d0147ba1d680a1399f02639215805f08cbc0285e0e6d7b
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