|
--- |
|
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](https://huggingface.co/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 |
|
|
|
```python |
|
requests.post(ENDPOINT_URL, headers={"Content-Type": "image/png"}, data=open("car.png", 'rb').read()).json() |
|
``` |
