Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_113")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_113") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_113") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c11d0b269e79e3e9f51528b5a8512c057dea2f5e64a3c959c79b05107beeb0de
- Size of remote file:
- 2.24 GB
- SHA256:
- f355ace172376fb6fbf8b613820334d8afab1b975d52598ff772c442577e1e2e
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