Note: text input only
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README.md
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document ──► one forward pass ──► {field: value, span, p_null, confidence}
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```
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## Quick start
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```python
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- **Span-based**: answers that must be paraphrased or merged from scattered places (long free-form answers, multi-line addresses) are weaker than with a generative model.
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- Up to **2,048 tokens per pass**; longer documents are truncated (`usage.truncated` tells you).
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- Languages other than English and Vietnamese work (see the XQuAD table) but absent-field detection has only been checked in English and Vietnamese.
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- Not supported yet: `time`, `duration`, `estimate`, `enum` fields and image input.
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- Runs with `transformers` (≥ 5.17); there is no serving-engine integration yet.
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document ──► one forward pass ──► {field: value, span, p_null, confidence}
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```
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> **Text input only.** gemmaExtract currently reads plain text (`state` must be a string). For scanned documents, photos or PDFs, run OCR first and pass the recognized text. Image input is not supported yet.
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## Quick start
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```python
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- **Span-based**: answers that must be paraphrased or merged from scattered places (long free-form answers, multi-line addresses) are weaker than with a generative model.
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- Up to **2,048 tokens per pass**; longer documents are truncated (`usage.truncated` tells you).
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- Languages other than English and Vietnamese work (see the XQuAD table) but absent-field detection has only been checked in English and Vietnamese.
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- Text input only: images, scans and PDFs need an OCR step first.
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- Not supported yet: `time`, `duration`, `estimate`, `enum` fields and image input.
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- Runs with `transformers` (≥ 5.17); there is no serving-engine integration yet.
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