Fork of 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 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": encoded_image,
"parameters": {
"candidate_labels": "green, yellow, blue, white, silver"
}
}
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The HF Inference API does not support zero-shot-image-classification models for generic library.
Model tree for fashxp/zero-shot-image-classification
Base model
openai/clip-vit-large-patch14