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Fork of Salesforce/blip-image-captioning-base for a image-to-text Inference endpoint.

Inspired by https://huggingface.co/sergeipetrov/blip_captioning

This repository implements a custom task for image-to-text for 🤗 Inference Endpoints to allow image capturing. The code for the customized pipeline is in the handler.py.

To use deploy this model an Inference Endpoint you have to select Custom as task to use the handler.py file.

expected Request payload

Image to be labeled as binary.

CURL

curl URL \
        -X POST \
        --data-binary @car.png \
        -H "Content-Type: image/png"

Python

requests.post(ENDPOINT_URL, headers={"Content-Type": "image/png"}, data=open("car.png", 'rb').read()).json()
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