Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_260 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_260 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_260")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_260") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_260", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd92f397185499a5aeb5836fa6cf57108a14f75389ef380781467f5c3e8f8b43
- Size of remote file:
- 5.43 kB
- SHA256:
- 2a0905b2f1922588d77f9d7ec0218c954442f7a7a33d7fc26bb33ee554c2d4cb
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