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Ovalko
/
Deepseek-OCR-QnA

Feature Extraction
Transformers
Safetensors
English
DeepseekOCR2
text-generation-inference
deepseek_vl_v2
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Ovalko/Deepseek-OCR-QnA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ovalko/Deepseek-OCR-QnA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Ovalko/Deepseek-OCR-QnA", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Ovalko/Deepseek-OCR-QnA", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Deepseek-OCR-QnA
6.79 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Ovalko's picture
Ovalko
Update README.md
4dd7386 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    369 Bytes
    Update README.md 3 months ago
  • config.json
    3.53 kB
    (Trained with Unsloth) 3 months ago
  • conversation.py
    9.25 kB
    (Trained with Unsloth) 3 months ago
  • deepencoderv2.py
    36.3 kB
    (Trained with Unsloth) 3 months ago
  • model-00001-of-000001.safetensors
    6.78 GB
    xet
    (Trained with Unsloth) 3 months ago
  • model.safetensors.index.json
    247 kB
    (Trained with Unsloth) 3 months ago
  • modeling_deepseekocr2.py
    40.7 kB
    (Trained with Unsloth) 3 months ago
  • special_tokens_map.json
    549 Bytes
    (Trained with Unsloth) 3 months ago
  • tokenizer.json
    9.98 MB
    (Trained with Unsloth) 3 months ago
  • tokenizer_config.json
    166 kB
    (Trained with Unsloth) 3 months ago