Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_233 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_233 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_233")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_233") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_233", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1d9e99c0a6040cbc89caa7e27ca5e9317da0a692898457cd291eaddad78048f
- Size of remote file:
- 5.43 kB
- SHA256:
- e49e057440b1bfe5f5cc9d56ec159d87b409a216d83ffd029e96c560ff54b170
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