Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_248 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_248 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_248")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_248") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_248", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0a735c447f7335a7b3817b0d7205e262ede97a2d79b6121e8cbdf3e6b234919
- Size of remote file:
- 5.43 kB
- SHA256:
- bd48aa0f7d3da153d1044bec072775bb93d8e9dcdeea275e0e1bdc949070a22a
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