Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_232 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_232 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_232")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_232") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_232", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9205bc3eca794fbd5a3e76e86120e8ae92934ff58d72b3f637cbf06b9c1f29e1
- Size of remote file:
- 5.43 kB
- SHA256:
- 822691434ae9b0b4a75031296ef4bbb1f76427fe2ba3b0f1700c3ac0725665c4
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