Instructions to use MedMLX/biomedparse-v2-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/biomedparse-v2-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/biomedparse-v2-mlx --local-dir biomedparse-v2-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
2 days ago
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Card: Python 3.13 only
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3 days ago
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Update model card for current runtime release
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Link and cite the MedMLX paper
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4 days ago
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Add biomedparse-mlx README image
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Fill model card metadata gaps
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Install the published PyPI release
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5 days ago
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Pin safetensors-ready runtime and weights
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Include the OpenAI CLIP tokenizer license
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Prepare public BioMedParse v2 model card and attribution
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7 days ago
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Link upstream paper references
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10 days ago
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Simplify model card with concise usage and MedMLX branding
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Document verified public runtime and checkpoint scope
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19 days ago
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Document clean environment and private repository setup
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Publish one FP32 safetensors checkpoint with native usage instructions
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Add native MLX model card and conversion guide
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initial commit
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