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 ๐ค 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
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HF Inference deployability: 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