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pipizhao
/
SkillRouter-Embedding-0.6B

Feature Extraction
Transformers
Safetensors
English
qwen3
embedding
retrieval
agent-tools
skill-routing
contrastive-learning
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use pipizhao/SkillRouter-Embedding-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pipizhao/SkillRouter-Embedding-0.6B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="pipizhao/SkillRouter-Embedding-0.6B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("pipizhao/SkillRouter-Embedding-0.6B")
    model = AutoModel.from_pretrained("pipizhao/SkillRouter-Embedding-0.6B")
  • Notebooks
  • Google Colab
  • Kaggle
SkillRouter-Embedding-0.6B
1.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
pipizhao's picture
pipizhao
Delete config_train.json
c03c9bc verified about 2 months ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • merges.txt
    1.67 MB
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  • model.safetensors
    1.19 GB
    xet
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    9.73 kB
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  • vocab.json
    2.78 MB
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