Instructions to use Sami92/XLM-R-Large-Polarization-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sami92/XLM-R-Large-Polarization-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sami92/XLM-R-Large-Polarization-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sami92/XLM-R-Large-Polarization-Classifier") model = AutoModelForSequenceClassification.from_pretrained("Sami92/XLM-R-Large-Polarization-Classifier") - Notebooks
- Google Colab
- Kaggle
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license: cc-by-4.0
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library_name: transformers
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pipeline_tag: text-classification
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# Model Card for Model ID
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