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mason1998
/
kurdish-ocr-test

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

Instructions to use mason1998/kurdish-ocr-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mason1998/kurdish-ocr-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mason1998/kurdish-ocr-test", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mason1998/kurdish-ocr-test", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
kurdish-ocr-test
10.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mason1998's picture
mason1998
(Trained with Unsloth)
b64b807 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    596 Bytes
    Unsloth Model Card about 1 month ago
  • config.json
    3.56 kB
    (Trained with Unsloth) about 1 month ago
  • conversation.py
    9.25 kB
    (Trained with Unsloth) about 1 month ago
  • deepencoderv2.py
    36.5 kB
    (Trained with Unsloth) about 1 month ago
  • generation_config.json
    164 Bytes
    (Trained with Unsloth) about 1 month ago
  • modeling_deepseekocr2.py
    40.8 kB
    (Trained with Unsloth) about 1 month ago
  • special_tokens_map.json
    549 Bytes
    (Trained with Unsloth) about 1 month ago
  • tokenizer.json
    9.98 MB
    (Trained with Unsloth) about 1 month ago
  • tokenizer_config.json
    166 kB
    (Trained with Unsloth) about 1 month ago