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@@ -62,7 +62,7 @@ chandra_app
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## Benchmarks
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Multilingual performance was a focus for us with Chandra 2. There isn't a good public benchmark multilingual OCR benchmark, so we made our own. This tests tables, math, ordering, layout, and text accuracy.
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Multilingual performance was a focus for us with Chandra 2. There isn't a good public multilingual OCR benchmark, so we made our own. This tests tables, math, ordering, layout, and text accuracy.
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<img src="assets/benchmarks/multilingual.png" width="600px"/>
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@@ -182,7 +182,7 @@ Settings can be configured via environment variables or a `local.env` file:
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```bash
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# Model settings
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MODEL_CHECKPOINT=datalab-to/chandra-ocr-2
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MAX_OUTPUT_TOKENS=8192
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MAX_OUTPUT_TOKENS=12384
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# vLLM settings
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VLLM_API_BASE=http://localhost:8000/v1
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@@ -1,6 +1,6 @@
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[project]
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name = "chandra-ocr"
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version = "0.1.9"
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version = "0.2.0"
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description = "OCR model that converts documents to markdown, HTML, or JSON."
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readme = "README.md"
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requires-python = ">=3.10"
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