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KitsuVp
/
unified-model-instruct

Feature Extraction
Transformers
Safetensors
unified_model
custom_code
Model card Files Files and versions
xet
Community

Instructions to use KitsuVp/unified-model-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KitsuVp/unified-model-instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="KitsuVp/unified-model-instruct", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("KitsuVp/unified-model-instruct", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
unified-model-instruct
164 MB
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  • 1 contributor
History: 7 commits
KitsuVp's picture
KitsuVp
Upload tokenizer
f867b50 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
    Upload model 9 months ago
  • chat_template.jinja
    329 Bytes
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  • config.json
    1.01 kB
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  • configuration_unified.py
    4.56 kB
    Upload 2 files 9 months ago
  • merges.txt
    466 kB
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  • model.safetensors
    159 MB
    xet
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  • modeling_unified.py
    36.7 kB
    Upload 2 files 9 months ago
  • special_tokens_map.json
    977 Bytes
    Upload tokenizer 9 months ago
  • tokenizer.json
    3.52 MB
    Upload tokenizer 9 months ago
  • tokenizer_config.json
    3.72 kB
    Upload tokenizer 9 months ago
  • vocab.json
    801 kB
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