Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_238 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_238 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_238")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_238") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_238", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1018de1a55444440dec492befb7165481dc72d828c0ae8d715b9ae7a41647aa
- Size of remote file:
- 499 MB
- SHA256:
- 7ed247fd9555c31716ab1a9f6aff96376eeaf60d510f1b84834a4bfae72943a4
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