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eunyounglee
/
EEVE-LLM2Vec-MNTP-1

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

Instructions to use eunyounglee/EEVE-LLM2Vec-MNTP-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use eunyounglee/EEVE-LLM2Vec-MNTP-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="eunyounglee/EEVE-LLM2Vec-MNTP-1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("eunyounglee/EEVE-LLM2Vec-MNTP-1")
    model = AutoModel.from_pretrained("eunyounglee/EEVE-LLM2Vec-MNTP-1")
  • Notebooks
  • Google Colab
  • Kaggle
EEVE-LLM2Vec-MNTP-1
21.3 GB
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  • 1 contributor
History: 3 commits
eunyounglee's picture
eunyounglee
Upload tokenizer
6279864 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
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  • config.json
    698 Bytes
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  • model-00001-of-00005.safetensors
    4.9 GB
    xet
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  • model-00002-of-00005.safetensors
    4.92 GB
    xet
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  • model-00003-of-00005.safetensors
    5 GB
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  • model-00004-of-00005.safetensors
    4.92 GB
    xet
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  • model-00005-of-00005.safetensors
    1.54 GB
    xet
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  • model.safetensors.index.json
    33.2 kB
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  • special_tokens_map.json
    692 Bytes
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  • tokenizer.json
    2.18 MB
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  • tokenizer_config.json
    2.05 kB
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