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mahmoudmohammad
/
marbertv2-multilabel-dialect

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mahmoudmohammad/marbertv2-multilabel-dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mahmoudmohammad/marbertv2-multilabel-dialect with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mahmoudmohammad/marbertv2-multilabel-dialect")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mahmoudmohammad/marbertv2-multilabel-dialect")
    model = AutoModelForSequenceClassification.from_pretrained("mahmoudmohammad/marbertv2-multilabel-dialect")
  • Notebooks
  • Google Colab
  • Kaggle
marbertv2-multilabel-dialect
654 MB
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  • 1 contributor
History: 3 commits
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mahmoudmohammad
Upload folder using huggingface_hub
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    5.17 kB
    Upload tokenizer 2 months ago
  • config.json
    1.43 kB
    Upload folder using huggingface_hub 2 months ago
  • model.safetensors
    651 MB
    xet
    Upload folder using huggingface_hub 2 months ago
  • tokenizer.json
    2.69 MB
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  • tokenizer_config.json
    401 Bytes
    Upload folder using huggingface_hub 2 months ago