Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_231 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_231 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_231")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_231") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_231", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21e379808a6fcdc5c4643cd72c8a36a6493d35b14a5c59aa8972d0e3e1e1d36e
- Size of remote file:
- 5.43 kB
- SHA256:
- a9c63f199105e38f3ed337b8e5ff71b17b6f1c3f3b7f6bcbba9d781eb6859810
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