https://huggingface.co/nielsr/slimsam 77 uniform with ONNX weights to be compatible with Transformers.js. Usage (Transformers.js) If you haven't already, you can install the Transformers.js JavaScript library from NPM using: Example: Perform mask generation with Xenova/slimsam 77 uniform . You can then visualize the generated mask with: Next, select the channel with the highest IoU score, which in this case is the second (green) channel. Intersecting this with the original image gives us an isolated version of the subject: Demo We've also got an online demo, which you can try out here. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx ).
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