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g3ida
/
ArabicWordsEmbedding

Feature Extraction
Transformers
Safetensors
Arabic
embedding_gemma2
arabic
ocr
document-ai
word-matching
multimodal-embedding
embeddinggemma
Model card Files Files and versions
xet
Community

Instructions to use g3ida/ArabicWordsEmbedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use g3ida/ArabicWordsEmbedding with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="g3ida/ArabicWordsEmbedding")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("g3ida/ArabicWordsEmbedding")
    model = AutoModel.from_pretrained("g3ida/ArabicWordsEmbedding", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ArabicWordsEmbedding
910 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
g3ida's picture
g3ida
Add the fine-tuned weights and configs
e7a8573 verified 2 days ago
  • 1_Pooling
    Add the fine-tuned weights and configs 2 days ago
  • 2_Normalize
    Add the fine-tuned weights and configs 2 days ago
  • .gitattributes
    1.57 kB
    Add the fine-tuned weights and configs 2 days ago
  • README.md
    2.02 kB
    first commit 2 days ago
  • chat_template.jinja
    1.02 kB
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  • config.json
    3.08 kB
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  • config_sentence_transformers.json
    1.33 kB
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  • model.safetensors
    878 MB
    xet
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  • modules.json
    413 Bytes
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  • processor_config.json
    1.79 kB
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  • sentence_bert_config.json
    747 Bytes
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  • tokenizer.json
    32.2 MB
    xet
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  • tokenizer_config.json
    1.6 kB
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  • word_matching.json
    238 Bytes
    Add the fine-tuned weights and configs 2 days ago