Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_239 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_239 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_239")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_239") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_239", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7a668df3d869ad406a3f1210a5f92d9de27507cee0beb4f3d000ec9b950aa15
- Size of remote file:
- 5.43 kB
- SHA256:
- 40298313098c8f36ed30368145c5df50842196c2ca1b9b4def784d45fe24f3e2
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