Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_199 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_199 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_199")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_199") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_199", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bb07eada19f1fe544e934a73e9ea375e57be04fe159c8194b2a5d21c10951c1
- Size of remote file:
- 5.43 kB
- SHA256:
- 83726c5431029aa17654d7ca2973addc0e0d626b31c075a673b11c0bb6a58457
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