Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_248 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_248 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_248")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_248") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_248", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3568d6a4139091fc04079d9e7328288d3937e489b97c57853acefc8e2a8a924
- Size of remote file:
- 499 MB
- SHA256:
- a0e5dd34f29edde05039fc40b747e8cbb515f62b84c7cea6615028459bc33376
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