metadata
tags:
- vision
- image-to-text
- endpoints-template
inference: false
pipeline_tag: image-to-text
base_model: Salesforce/blip-image-captioning-large
library_name: generic
Fork of Salesforce/blip-image-captioning-large 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()