Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_088 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_088 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_088")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_088") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_088", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6d4d1f0419a746f12a4a92b189570e4da77ebdd88cc9a5b071fee8d60f27fc0
- Size of remote file:
- 5.43 kB
- SHA256:
- 3107fae793859146ae8fe6dbd90c80fbbf61c703b47096a7e0f85f3ae6878910
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