---
tags:
- vision
- zero-shot-image-classification
library_name: generic
---

# Fork of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) for a `zero-sho-image-classification` Inference endpoint.

This repository implements a `custom` task for `zero-shot-image-classification` for 🤗 Inference Endpoints. The code for the customized pipeline is in the [pipeline.py](https://huggingface.co/philschmid/clip-zero-shot-image-classification/blob/main/pipeline.py).

To use deploy this model a an Inference Endpoint you have to select `Custom` as task to use the `pipeline.py` file. -> _double check if it is selected_

### expected Request payload

```json
{
  "image": "/9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgICAgMC....", // base64 image as bytes
  "candiates":["sea","palace","car","ship"]
}
```

below is an example on how to run a request using Python and `requests`.

## Run Request 

1. prepare an image. 

```bash
!wget https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
```

2. run request

```python


```