Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_221 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_221 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_221")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_221") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_221", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0f26824cc175fdfafa26ae6bae73ab1799d6465182d5c97c82c2b55ea9fa124
- Size of remote file:
- 5.43 kB
- SHA256:
- b1ac1ce270055767f2d5b971338a4ebfe33080f5691d3c6cf59106dec733a46b
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