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:
- bfa4477b83c6c5d8d67c44155252548874aff1860286f30b75d9017dbc77754f
- Size of remote file:
- 5.43 kB
- SHA256:
- 07828ae75cbc5a68df63193313999bd2f7cee2aebdcba5e49ad7422ff5c32b07
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