---
tags:
  - vision
  - image-to-text
  - endpoints-template
inference: false
pipeline_tag: image-to-text
base_model: Salesforce/blip-image-captioning-base
library_name: generic
---

# Fork of [Salesforce/blip-image-captioning-base](https://huggingface.co/openai/clip-vit-base-patch32) 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()
```