Add baidu/Unlimited-OCR vision tower support (feature-extraction)#1018
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Add baidu/Unlimited-OCR vision tower support (feature-extraction)#1018ssss141414 wants to merge 2 commits into
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Register an OnnxConfig + wrapper that exports the Unlimited-OCR vision tower (SAM ViT-B + CLIP-L-14 + MLP projector) under the feature-extraction task, so winml config/build natively produce the vision-embedding ONNX artifact. - unlimited_ocr.py: UnlimitedOCRVisionTowerWrapper (AutoModel + get_model, composes sam_model/vision_model/projector) and UnlimitedOCRVisionIOConfig registered via @register_onnx_overwrite for (unlimited-ocr, feature-extraction) with static [1,3,1024,1024] dummy inputs and image_embeds output. - hf/__init__.py: wire the model-class mapping and trigger registration. - tests: network-free unit tests validating registry wiring and IO contract.
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| from transformers import PretrainedConfig | ||
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| # Import triggers ONNX config registration | ||
| import winml.modelkit.models # noqa: F401 |
…e deps The baidu/Unlimited-OCR trust_remote_code modeling code imports addict, einops, easydict and matplotlib. Expose them as an optional extra so 'winml build baidu/Unlimited-OCR' is reproducible from a clean checkout via 'pip install winml-modelkit[unlimited-ocr]', mirroring the existing audio/openvino/qnn extras.
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Register an OnnxConfig + wrapper that exports the Unlimited-OCR vision tower (SAM ViT-B + CLIP-L-14 + MLP projector) under the
feature-extractiontask, sowinml config/buildnatively produce the vision-embedding ONNX artifact.What
unlimited_ocr.py:UnlimitedOCRVisionTowerWrapper(AutoModel +get_model(), composessam_model/vision_model/projector) andUnlimitedOCRVisionIOConfigregistered via@register_onnx_overwritefor(unlimited-ocr, feature-extraction)with static[1,3,1024,1024]dummy inputs and animage_embedsoutput.hf/__init__.py: wire the model-class mapping and trigger registration.Validation
Scope
Vision tower only. The full generative DeepSeek-V2 decoder path is out of scope.