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feat: Minimal Hugging Face Image Classification Pipeline (#852)
* Minimal Hugging Face Pipeline Signed-off-by: Julien Jerphanion <[email protected]> * Update submodule Signed-off-by: Julien Jerphanion <[email protected]> * feat: Add Image Classification app to the gallery Signed-off-by: Julien Jerphanion <[email protected]> * Update submodule after the merge of flojoy-ai/nodes#253 Signed-off-by: Julien Jerphanion <[email protected]> * feat: Register the App as imageClassifcation.json Co-authored-by: JeffDotPng <[email protected]> Signed-off-by: Julien Jerphanion <[email protected]> --------- Signed-off-by: Julien Jerphanion <[email protected]>
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"nodes": [ | ||
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"data": { | ||
"id": "HUGGING_FACE_PIPELINE-160a47cc-72e8-4088-a4af-43efdc9904d6", | ||
"label": "HUGGING FACE PIPELINE", | ||
"func": "HUGGING_FACE_PIPELINE", | ||
"type": "AI_ML", | ||
"ctrls": { | ||
"model": { | ||
"type": "str", | ||
"default": "google/vit-base-patch16-224", | ||
"desc": "The model to be used for classification.\nIf not specified, Vision Transformers (i.e. `google/vit-base-patch16-224`) are used.\nFor more information about Vision Transformers, see: https://huggingface.co/google/vit-base-patch16-224\nFor a complete list of models see: https://huggingface.co/models?pipeline_tag=image-classification", | ||
"functionName": "HUGGING_FACE_PIPELINE", | ||
"param": "model", | ||
"value": "google/vit-base-patch16-224" | ||
}, | ||
"revision": { | ||
"type": "str", | ||
"default": "main", | ||
"desc": "The revision of the model to be used for classification.\nIf not specified, main is `used`. For instance see: https://huggingface.co/google/vit-base-patch16-224/commits/main", | ||
"functionName": "HUGGING_FACE_PIPELINE", | ||
"param": "revision", | ||
"value": "main" | ||
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"multiple": false, | ||
"desc": "The input image to be classified. The image must be a PIL.Image object wrapped in a flojoy Image object." | ||
} | ||
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"desc": "A DataFrame containing as columns the `label` classification label and `score`, its confidence score.\nAll scores are between 0 and 1 and sum to 1." | ||
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"type": "OrderedTriple|OrderedPair|DataFrame|Vector", | ||
"multiple": false, | ||
"desc": "the DataContainer to be visualized" | ||
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"outputs": [ | ||
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"name": "default", | ||
"id": "default", | ||
"type": "Plotly", | ||
"desc": "the DataContainer containing Plotly Table visualization" | ||
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