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richarddavison
/
DeepSeek-OCR-2-FP8

Feature Extraction
Transformers
Safetensors
deepseek_vl_v2
ocr
vision-language
fp8
quantized
deepseek
custom_code
compressed-tensors
Model card Files Files and versions
xet
Community
1

Instructions to use richarddavison/DeepSeek-OCR-2-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use richarddavison/DeepSeek-OCR-2-FP8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="richarddavison/DeepSeek-OCR-2-FP8", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("richarddavison/DeepSeek-OCR-2-FP8", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DeepSeek-OCR-2-FP8
3.75 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
richarddavison's picture
richarddavison
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  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.36 kB
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  • config.json
    3.78 kB
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  • configuration_deepseek_v2.py
    10.6 kB
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  • conversation.py
    9.25 kB
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  • deepencoderv2.py
    36.3 kB
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  • generation_config.json
    111 Bytes
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  • model.safetensors
    3.74 GB
    xet
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  • modeling_deepseekocr2.py
    39.2 kB
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  • modeling_deepseekv2.py
    82.2 kB
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  • recipe.yaml
    136 Bytes
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  • special_tokens_map.json
    549 Bytes
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  • tokenizer.json
    9.98 MB
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  • tokenizer_config.json
    166 kB
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