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Download README.md from shreyask/kumo-tabular-web: direct link, hf CLI and curl.
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https://huggingface.co/spaces/shreyask/kumo-tabular-web/resolve/main/README.md
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hf download hf://spaces/shreyask/kumo-tabular-web/README.md
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curl -L -o README.md https://huggingface.co/spaces/shreyask/kumo-tabular-web/resolve/main/README.md
1.07 kB
| title: Kumo Tabular in the Browser | |
| emoji: 📊 | |
| colorFrom: green | |
| colorTo: gray | |
| sdk: static | |
| app_file: index.html | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: Zero-shot tabular predictions on your CSV, fully in-browser | |
| models: | |
| - onnx-community/kumo-tabular-small-classifier-ONNX | |
| - onnx-community/kumo-tabular-small-regressor-ONNX | |
| - nvidia/Kumo-Tabular | |
| tags: | |
| - tabular | |
| - webgpu | |
| - duckdb | |
| - transformers.js | |
| # Kumo Tabular in the Browser | |
| Drop a CSV or Parquet file, pick a target column, and get zero-shot predictions from NVIDIA's [Kumo Tabular](https://huggingface.co/nvidia/Kumo-Tabular) (Small). DuckDB-WASM loads and queries the data; the model runs as ONNX on WebGPU (WASM fallback) through Transformers.js. Nothing leaves the page. | |
| Models: [classifier](https://huggingface.co/onnx-community/kumo-tabular-small-classifier-ONNX), [regressor](https://huggingface.co/onnx-community/kumo-tabular-small-regressor-ONNX) (OpenMDW-1.1). Code: [shreyaskarnik/kumo-tabular-web](https://github.com/shreyaskarnik/kumo-tabular-web) (Apache-2.0). | |