Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_090 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_090 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_090")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_090") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_090", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a0f44451d17efe4cb4e37cd5034bbdcda03b07ffff69d2b940397eb907faf17
- Size of remote file:
- 5.78 kB
- SHA256:
- 3b45229e16e821bd20c23bc33311b8d41085c1917844e014f52e61223742ff30
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