Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

gagan3012
/
ArOCR

Image-to-Text
Transformers
PyTorch
TensorBoard
Arabic
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use gagan3012/ArOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gagan3012/ArOCR with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="gagan3012/ArOCR")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("gagan3012/ArOCR", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ArOCR / runs
207 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
gagan3012's picture
gagan3012
add model
02b9e60 about 4 years ago
  • Apr19_22-38-31_9bb1d09d1b50
    End of training about 4 years ago
  • Apr20_06-26-14_797b2fa1c206
    add model about 4 years ago