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README: public description, link the model and training script
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Download README.md from davanstrien/hub-task-tagger: direct link, hf CLI and curl.
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https://huggingface.co/spaces/davanstrien/hub-task-tagger/resolve/main/README.md
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hf download hf://spaces/davanstrien/hub-task-tagger/README.md
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curl -L -o README.md https://huggingface.co/spaces/davanstrien/hub-task-tagger/resolve/main/README.md
599 Bytes
| title: What is this dataset for? | |
| emoji: 🏷️ | |
| colorFrom: gray | |
| colorTo: blue | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| short_description: Suggest Hub task tags from a dataset's first row | |
| Suggests Hub `task_categories` for a dataset from its column names and first row, using a fine-tuned | |
| [GLiNER2.5-base model](https://huggingface.co/davanstrien/hub-task-tagger-gliner2.5-base). Trained with | |
| [`train-gliner2.py`](https://huggingface.co/datasets/uv-scripts/classification) on Hugging Face Jobs. | |
| API: `POST /api/predict {"dataset_id": "owner/name"}` returns the top tags with probabilities. | |