Instructions to use prithivMLmods/OCR-ReportLab-Notebooks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/OCR-ReportLab-Notebooks with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="prithivMLmods/OCR-ReportLab-Notebooks")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("prithivMLmods/OCR-ReportLab-Notebooks", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use prithivMLmods/OCR-ReportLab-Notebooks with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/OCR-ReportLab-Notebooks"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/OCR-ReportLab-Notebooks",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/prithivMLmods/OCR-ReportLab-Notebooks

SGLang

How to use prithivMLmods/OCR-ReportLab-Notebooks with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "prithivMLmods/OCR-ReportLab-Notebooks" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/OCR-ReportLab-Notebooks",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "prithivMLmods/OCR-ReportLab-Notebooks" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/OCR-ReportLab-Notebooks",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use prithivMLmods/OCR-ReportLab-Notebooks with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/OCR-ReportLab-Notebooks
```

prithivMLmods commited on Jul 27, 2025

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@@ -16,6 +16,9 @@ tags:
 > [!note]
 **OCR-ReportLab** is a collection of Colab notebooks designed to perform Optical Character Recognition (OCR) on images and generate DOCX or PDF documents containing both the original image and the extracted text. It supports multiple state-of-the-art vision-language models for experimentation and practical use.
 ## Notebooks
 You can launch and run the following notebooks directly in Google Colab:

 > [!note]
 **OCR-ReportLab** is a collection of Colab notebooks designed to perform Optical Character Recognition (OCR) on images and generate DOCX or PDF documents containing both the original image and the extracted text. It supports multiple state-of-the-art vision-language models for experimentation and practical use.
+> [!important]
+All the notebooks are here : https://huggingface.co/prithivMLmods/OCR-ReportLab-Notebooks/tree/main
 ## Notebooks
 You can launch and run the following notebooks directly in Google Colab: