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", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

Commit

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@@ -24,7 +24,8 @@ You can launch and run the following notebooks directly in Google Colab:
 - **Monkey OCR:** [Open in Colab](https://colab.research.google.com/drive/1vPCojbmlXjDFUt06FJ1tjgnj_zWK4mUo)
 - **OCRFlux 3B:** [Open in Colab](https://colab.research.google.com/drive/1TDoCXzWdF2hxVLbISqW6DjXAzOyI7pzf)
 - **Typhoon OCR:** [Open in Colab](https://colab.research.google.com/drive/1_59zvLNnn1kvbiSFxzA1WiqhpbW8RKbz)
-- **... and more ...**
 ## Features
 - Extracts text from input images using various OCR models
@@ -39,7 +40,8 @@ The repository currently supports the following OCR implementations:
 - **Monkey OCR**
 - **OCRFlux 3B**
 - **Typhoon OCR 3B**
 ## Installation
 No installation is required. Simply click on the links above to run the notebooks in Google Colab. Make sure to upload your image file(s) when prompted and follow the instructions in the notebook.

 - **Monkey OCR:** [Open in Colab](https://colab.research.google.com/drive/1vPCojbmlXjDFUt06FJ1tjgnj_zWK4mUo)
 - **OCRFlux 3B:** [Open in Colab](https://colab.research.google.com/drive/1TDoCXzWdF2hxVLbISqW6DjXAzOyI7pzf)
 - **Typhoon OCR:** [Open in Colab](https://colab.research.google.com/drive/1_59zvLNnn1kvbiSFxzA1WiqhpbW8RKbz)
+- **and more ...**
 ## Features
 - Extracts text from input images using various OCR models
 - **Monkey OCR**
 - **OCRFlux 3B**
 - **Typhoon OCR 3B**
+- **and more ...**
 ## Installation
 No installation is required. Simply click on the links above to run the notebooks in Google Colab. Make sure to upload your image file(s) when prompted and follow the instructions in the notebook.