Instructions to use needle-tools/Sharp-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sharp
How to use needle-tools/Sharp-webgpu with Sharp:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Transformers.js
How to use needle-tools/Sharp-webgpu with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-to-3d', 'needle-tools/Sharp-webgpu'); - Notebooks
- Google Colab
- Kaggle
Download sharp_stage_1.onnx.data from needle-tools/Sharp-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/needle-tools/Sharp-webgpu/resolve/main/sharp_stage_1.onnx.data
- Command line
-
hf download hf://needle-tools/Sharp-webgpu/sharp_stage_1.onnx.data
-
curl -L -o sharp_stage_1.onnx.data https://huggingface.co/needle-tools/Sharp-webgpu/resolve/main/sharp_stage_1.onnx.data
1.29 GB
- Xet hash:
- 3a4acf160178aca34107db5827bb2c88470869cd1ea19a729aa5ee8325005074
- Size of remote file:
- 1.29 GB
- SHA256:
- fd6df6dd6f366c379ba2329a921a92a81c643c8c2fca255903035ebc59ead536
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