Upload lighton-ocr2.py with huggingface_hub
Browse files- lighton-ocr2.py +9 -3
lighton-ocr2.py
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@@ -6,12 +6,18 @@
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# "huggingface-hub",
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# "hf-xet",
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# "pillow",
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# "vllm
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# "transformers @ git+https://github.com/huggingface/transformers",
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# "tqdm",
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# "toolz",
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# "torch",
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# ]
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# ///
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"""
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@@ -21,7 +27,7 @@ LightOnOCR-2 is a compact 1B multilingual OCR model optimized for production spe
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Combines Pixtral ViT encoder with Qwen3 language model for efficient document parsing.
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Uses Reinforcement Learning with Verifiable Rewards (RLVR) for improved quality.
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NOTE: Requires transformers installed from source (included in dependencies).
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First run may take a few minutes to download and install dependencies.
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Features:
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- 💪 Production-ready: Outperforms models 9× larger
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Model: lightonai/LightOnOCR-2-1B
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vLLM: Requires vLLM
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Performance: 83.2 ± 0.9% on OlmOCR-Bench
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"""
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# "huggingface-hub",
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# "hf-xet",
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# "pillow",
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# "vllm",
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# "transformers @ git+https://github.com/huggingface/transformers",
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# "tqdm",
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# "toolz",
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# "torch",
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# ]
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#
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# [[tool.uv.index]]
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# url = "https://wheels.vllm.ai/nightly"
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#
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# [tool.uv]
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# prerelease = "allow"
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# ///
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"""
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Combines Pixtral ViT encoder with Qwen3 language model for efficient document parsing.
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Uses Reinforcement Learning with Verifiable Rewards (RLVR) for improved quality.
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NOTE: Requires vLLM nightly + transformers installed from source (both included in dependencies).
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First run may take a few minutes to download and install dependencies.
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Features:
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- 💪 Production-ready: Outperforms models 9× larger
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Model: lightonai/LightOnOCR-2-1B
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vLLM: Requires vLLM nightly + transformers from source
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Performance: 83.2 ± 0.9% on OlmOCR-Bench
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"""
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