Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_199 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_199 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_199")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_199") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_199", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e84ab6e7abc5a2d1a8b29487346299ef4e23c261f48ce61cd28d45e2bfbf7537
- Size of remote file:
- 5.43 kB
- SHA256:
- 7c938e8d65f665e7a43af48b7b46d18c8e3f3b400b39271d40ac3e76f7d2c1b9
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