Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_258 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_258 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_258")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_258") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_258", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb6475bb12c598b535de9d551fd9d20d3cc01b7a673cfd543c43fccf437a1521
- Size of remote file:
- 5.43 kB
- SHA256:
- 3e041bd353d320edbbc6e8912fc22ed820d1ed78e2aff4c2678648f071e54369
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