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MindscapeRAG
/
MiA-Emb-4B

Feature Extraction
Transformers
Safetensors
English
Chinese
embedding
retriever
RAG
Model card Files Files and versions
xet
Community
1

Instructions to use MindscapeRAG/MiA-Emb-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MindscapeRAG/MiA-Emb-4B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MindscapeRAG/MiA-Emb-4B")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MindscapeRAG/MiA-Emb-4B", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MiA-Emb-4B
189 MB
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  • 2 contributors
History: 5 commits
MindscapeRAG's picture
MindscapeRAG
Update README.md
8ad00b4 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    7.19 kB
    Update README.md 4 months ago
  • adapter_config.json
    819 Bytes
    Upload Embedding model: MiA-Emb-4B version 5 months ago
  • adapter_model.safetensors
    189 MB
    xet
    Upload Embedding model: MiA-Emb-4B version 5 months ago