Instructions to use richardyoung/olmOCR-2-7B-1025-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use richardyoung/olmOCR-2-7B-1025-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir olmOCR-2-7B-1025-MLX-8bit richardyoung/olmOCR-2-7B-1025-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- df76a490efc15d074370d0b69c62ae9455388d45e5eac39dff689db8f6bc73f5
- Size of remote file:
- 3.62 GB
- SHA256:
- 50e8c30bb1a96745ca599c7afe7141e5d04a475bc661227ecdaf6dd0407fba9e
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