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:
- 2ccee9168019684964c3bcc99844215bab640b9a43461898f51aea96d4d8c337
- Size of remote file:
- 5.32 GB
- SHA256:
- 7f84a97b183822399965c09d6a0c995d5aa58bf7660682b54638a361de6b57ac
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