Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_220 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_220")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_220") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_220", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25959d2f833a714fb7eb82aff757ba1b143d8f74d1fd84e3eef5abfcdee8b9b9
- Size of remote file:
- 5.43 kB
- SHA256:
- 5c5e0db3c0e3d68822773ba66f3fda5832cc0a346931f1ab0c91fb3e1e8dce7f
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