GitHub user tanishqgandhi1908 edited a comment on the discussion: Proposal - Supporting user-provided ML models in workflows
## End to end user experience Continuing on the above discussion, please find below the end-to-end user experience. Models can be created, versioned, shared and used in a workflow. Here's what the flow looks like for a user. 1. Create a model Same as creating a dataset — name it, and pick a framework (PyTorch, TensorFlow, ONNX, scikit-learn, or "other") and a format (TorchScript, safetensors, ONNX, SavedModel, joblib, pickle, …). Both can be changed later. <img width="1098" height="572" alt="Screenshot 2026-08-05 at 11 14 57 AM" src="https://github.com/user-attachments/assets/96c05f77-c536-40cd-b1bf-83579a560fa0"; /> 2. Upload the files Drag a folder in and the structure is kept. Big weight files upload in chunks, and models get their own size limit — 2 GB per file by default, where datasets are 20 MB. Every upload becomes a new version you can go back to. 3. Share it Invite people by email with read or write access, or make it public. There's a separate switch for whether people can download it. Models also show up in search — by name, description, framework or format — and public ones appear in the Hub with view and like counts. 4. Copy the code to use it Each model page has a Usage tab that writes the Python for you, based on the framework and format you picked. torch.jit.load for TorchScript, joblib.load for scikit-learn, an ONNX Runtime session for ONNX, and so on — with comments explaining each step. <img width="1215" height="744" alt="image" src="https://github.com/user-attachments/assets/827cff63-9abe-41c3-9105-871b666f39fc"; /> 5. Paste it and pick a version The code declares its own parameter, so pasting it into a Python UDF makes a row appear in the property panel with a model picker. Choose a version there and it reaches your code as a local folder — already mounted, nothing to download. <img width="1952" height="898" alt="image" src="https://github.com/user-attachments/assets/4cd42263-2de8-4c5a-b32f-d4b16b737ba9"; /> Would love suggestions on this flow- anything you'd expect to be here and isn't. GitHub link: https://github.com/apache/texera/discussions/6616#discussioncomment-17910747 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected]
