Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_249 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_249 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_249", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_249") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_249", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d97f5b0d5e09427d0f1f82beab16361ca3dede9517f7b530cb1418613353df3d
- Size of remote file:
- 499 MB
- SHA256:
- eb6b730633de5b50373f9f26b79a51783ba436bf8fc1090bbdf1354913709e75
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