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:
- 1cdb62516c74f8aa5b7ebad23797e3ed9a8755942626c99b2ba87d8ef19e9024
- Size of remote file:
- 2.24 GB
- SHA256:
- e90e8d160b4fb7fa81de1816ea76bb6e586d97c99d94dc3c8a10d6c52483ac69
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