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FINGU-AI
/
FingU7b

Feature Extraction
Transformers
Safetensors
qwen2
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use FINGU-AI/FingU7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FINGU-AI/FingU7b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="FINGU-AI/FingU7b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("FINGU-AI/FingU7b", trust_remote_code=True)
    model = AutoModel.from_pretrained("FINGU-AI/FingU7b", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
FingU7b
28.3 GB
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  • 1 contributor
History: 3 commits
FINGU-AI's picture
FINGU-AI
Upload tokenizer
f9a2da4 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
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  • added_tokens.json
    80 Bytes
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  • config.json
    1.04 kB
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  • merges.txt
    1.67 MB
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  • model-00001-of-00006.safetensors
    4.97 GB
    xet
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  • model-00002-of-00006.safetensors
    4.78 GB
    xet
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  • model-00003-of-00006.safetensors
    4.93 GB
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  • model-00004-of-00006.safetensors
    4.93 GB
    xet
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  • model-00005-of-00006.safetensors
    5 GB
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  • model-00006-of-00006.safetensors
    3.66 GB
    xet
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  • model.safetensors.index.json
    25.7 kB
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  • special_tokens_map.json
    370 Bytes
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  • tokenizer.json
    7.03 MB
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  • tokenizer_config.json
    1.59 kB
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  • vocab.json
    2.78 MB
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