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PhilipGAQ
/
BGE_M3_Mindspore

Feature Extraction
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use PhilipGAQ/BGE_M3_Mindspore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PhilipGAQ/BGE_M3_Mindspore with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="PhilipGAQ/BGE_M3_Mindspore")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("PhilipGAQ/BGE_M3_Mindspore")
    model = AutoModel.from_pretrained("PhilipGAQ/BGE_M3_Mindspore")
  • Notebooks
  • Google Colab
  • Kaggle
BGE_M3_Mindspore
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  • 1 contributor
History: 5 commits
PhilipGAQ's picture
PhilipGAQ
Update README.md
5219c95 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • colbert_linear.ckpt
    2.1 MB
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  • config.json
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  • generation_config.json
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  • model.safetensors
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  • sentencepiece.bpe.model
    5.07 MB
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  • sparse_linear.ckpt
    2.13 kB
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  • special_tokens_map.json
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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