Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_082 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_082 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_082")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_082") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_082", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a77423e742b36ab511d7016636b4a01dd2ae0e2f7f6e008b35f21fe09048de44
- Size of remote file:
- 1.11 GB
- SHA256:
- 2373f59ee255179151009a23eed85207279fe0255a4fe5f48a18447286760266
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