Instructions to use ebadhussain20/urdu_ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebadhussain20/urdu_ocr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ebadhussain20/urdu_ocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2000/tokenizer.json from ebadhussain20/urdu_ocr: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/ebadhussain20/urdu_ocr/resolve/main/checkpoint-2000/tokenizer.json
- Command line
-
hf download hf://ebadhussain20/urdu_ocr/checkpoint-2000/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ebadhussain20/urdu_ocr/resolve/main/checkpoint-2000/tokenizer.json
12.2 MB
- Xet hash:
- 40fde4efd58862e88a341dce4e9fab311ae53df1993263891463fc414916a1e1
- Size of remote file:
- 12.2 MB
- SHA256:
- 54f71a9b8218fde29235fc188308e107371d8990b58bfbe924e1e00788f96834
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