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feat(ml): export clip models to ONNX and host models on Hugging Face (#4700)

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* export clip models

* export to hf

refactored export code

* export mclip, general refactoring

cleanup

* updated conda deps

* do transforms with pillow and numpy, add tokenization config to export, general refactoring

* moved conda dockerfile, re-added poetry

* minor fixes

* updated link

* updated tests

* removed `requirements.txt` from workflow

* fixed mimalloc path

* removed torchvision

* cleaner np typing

* review suggestions

* update default model name

* update test
This commit is contained in:
Mert
2023-10-31 06:02:04 -04:00
committed by GitHub
parent 3212a47720
commit 87a0ba3db3
29 changed files with 6192 additions and 2043 deletions
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15
machine-learning/export/models/util.py Normal file
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import json
from pathlib import Path
from typing import Any
def get_model_path(output_dir: Path | str) -> Path:
output_dir = Path(output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
return output_dir / "model.onnx"
def save_config(config: Any, output_path: Path | str) -> None:
output_path = Path(output_path)
output_path.parent.mkdir(parents=True, exist_ok=True)
json.dump(config, output_path.open("w"))