Convert siglip to onnx

gistfile1.txt

# https://huggingface.co/google/siglip-base-patch16-256-multilingual

# install huggingface/transformers from source
# install optimum from this branch: https://github.com/huggingface/optimum/tree/xenova-add-siglip
# install onnx onnxruntime etc.

# Use T5 tokenizer fast and save_pretrained to get tokenizers.json
# https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/tokenization_t5_fast.py

# clone xenova/transformers.js and use the script to convert model
# fix any errors that come up after this
#    use opset 13
#    split multimodal in a second run
#    quantized=True always