Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_231 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_231 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_231")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_231") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_231", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d39d3aa8e1cd43f02bb1584c35ffd6ca5b6c5b791a8f662d9b9db603750c09b
- Size of remote file:
- 5.43 kB
- SHA256:
- 706c34262de31255525a87976fe12dd7f41815944da0108393c10f854ed93691
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