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VinitT
/
Indic-Ocr

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

Instructions to use VinitT/Indic-Ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VinitT/Indic-Ocr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="VinitT/Indic-Ocr", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("VinitT/Indic-Ocr", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use VinitT/Indic-Ocr with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for VinitT/Indic-Ocr to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for VinitT/Indic-Ocr to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for VinitT/Indic-Ocr to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="VinitT/Indic-Ocr",
        max_seq_length=2048,
    )
Indic-Ocr
6.68 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
VinitT's picture
VinitT
(Trained with Unsloth)
a752b7c verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    589 Bytes
    Unsloth Model Card about 2 months ago
  • config.json
    3.69 kB
    (Trained with Unsloth) about 2 months ago
  • conversation.py
    9.25 kB
    (Trained with Unsloth) about 2 months ago
  • deepencoder.py
    38 kB
    (Trained with Unsloth) about 2 months ago
  • model-00001-of-000001.safetensors
    6.67 GB
    xet
    (Trained with Unsloth) about 2 months ago
  • model.safetensors.index.json
    247 kB
    (Trained with Unsloth) about 2 months ago
  • modeling_deepseekocr.py
    41.1 kB
    (Trained with Unsloth) about 2 months ago
  • special_tokens_map.json
    549 Bytes
    (Trained with Unsloth) about 2 months ago
  • tokenizer.json
    9.98 MB
    (Trained with Unsloth) about 2 months ago
  • tokenizer_config.json
    166 kB
    (Trained with Unsloth) about 2 months ago