Instructions to use Delicia/newModelClassificationTrial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Delicia/newModelClassificationTrial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Delicia/newModelClassificationTrial")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Delicia/newModelClassificationTrial") model = AutoModelForSequenceClassification.from_pretrained("Delicia/newModelClassificationTrial") - Notebooks
- Google Colab
- Kaggle
Upload XLMRobertaForSequenceClassification
Browse files- config.json +1 -1
config.json
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"_name_or_path": "
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"architectures": [
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"XLMRobertaForSequenceClassification"
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"_name_or_path": "Delicia/newModelClassificationTrial",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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],
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