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Parent(s):
ba42011
Update README with accurate HF Jobs instructions and complete options
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README.md
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### GPU Acceleration (HF Jobs)
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```bash
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# Run on HF Jobs with GPU using experimental UV support
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hf jobs uv run --flavor t4-small \
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https://huggingface.co/datasets/uv-scripts/build-atlas/raw/main/atlas-export.py \
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stanfordnlp/imdb \
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--space-name imdb-viz \
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--sample 10000
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```
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Note:
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## Key Options
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| `dataset_id` | HuggingFace dataset to visualize | Required |
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| `--space-name` | Name for your Space | Required |
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| `--model` | Embedding model to use | Auto-selected |
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| `--text-column` | Column containing text |
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| `--image-column` | Column containing images | None |
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| `--sample` | Number of samples to visualize | All |
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| `--local-only` | Generate locally without deploying | False |
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| `--output-dir` | Local output directory | Temp dir |
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Run without arguments to see all options and more examples.
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### GPU Acceleration (HF Jobs)
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```bash
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# First, get your HF token (if not already set)
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python -c "from huggingface_hub import get_token; print(get_token())"
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# Run on HF Jobs with GPU using experimental UV support
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hf jobs uv run --flavor t4-small \
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-s HF_TOKEN=your-token-here \
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https://huggingface.co/datasets/uv-scripts/build-atlas/raw/main/atlas-export.py \
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stanfordnlp/imdb \
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--space-name imdb-viz \
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--sample 10000
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```
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Note: Replace `your-token-here` with your actual token. Available GPU flavors: `t4-small`, `t4-medium`, `l4x1`, `a10g-small`.
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## Key Options
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| `dataset_id` | HuggingFace dataset to visualize | Required |
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| `--space-name` | Name for your Space | Required |
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| `--model` | Embedding model to use | Auto-selected |
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| `--text-column` | Column containing text | "text" |
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| `--image-column` | Column containing images | None |
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| `--sample` | Number of samples to visualize | All |
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| `--split` | Dataset split to use | "train" |
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| `--local-only` | Generate locally without deploying | False |
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| `--output-dir` | Local output directory | Temp dir |
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| `--hf-token` | HuggingFace API token | From env/CLI |
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Run without arguments to see all options and more examples.
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