Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_193 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_193 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_193")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_193") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_193", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a432eaa494e8994d0f5ead524477d6816523a3ce454a1169f57f884c54117df6
- Size of remote file:
- 5.43 kB
- SHA256:
- 82761301ca826ffba93516edf154f4657e685f284c6e2491742bc1c77cffa609
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