Instructions to use eevoire/json-extractor-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use eevoire/json-extractor-demo with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir json-extractor-demo eevoire/json-extractor-demo
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload data/manifest.json with huggingface_hub
Browse files- data/manifest.json +18 -0
data/manifest.json
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{
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"source_file": "tasks/json-extractor-demo/raw.jsonl",
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"source_description": "json-extractor-demo task (tasks/json-extractor-demo)",
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"data_ledger_entry": "json-extractor-demo-synthetic",
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"seed": 20260701,
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"raw_examples": 400,
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"duplicates_dropped": 0,
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"counts": {
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"train": 320,
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"valid": 40,
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"test": 40
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},
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"split_fractions": {
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"valid": 0.1,
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"test": 0.1
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},
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"contamination_check": "passed"
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}
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