Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_123")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_123") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_123", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8795ff6618ef88caf7bca23e4eb597ffc51e2a1ce2051e2b7377c827dba8f5b
- Size of remote file:
- 2.24 GB
- SHA256:
- 918808c732dfeefc54960e7bb6c3790b9fdd3ef6e90182c9906a86e6acb11fc6
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