Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_204 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_204 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_204")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_204") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_204", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7995590bc39e4b87f1eda20b367fc9b9c9a5d3d8ed5390bb0c270cfac2fc78ef
- Size of remote file:
- 1.11 GB
- SHA256:
- ac9db133664151c05b6fe20270f850b78cc66b0be07e6bb6bf544bfc95d04a6f
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