Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_255 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_255 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_255")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_255") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_255") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62431be490e9e029cffdde7a4b55157c0675698ffb05016e6255cebe355aa916
- Size of remote file:
- 499 MB
- SHA256:
- ad9d9d235cc4f8b7572c2544623065b5c4710f66b1dbd54601989d589da0c0fc
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