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This repository was archived by the owner on Jul 28, 2025. It is now read-only.
Added README.md documentation for CPU only installations (#365)
* changed README.md to reflect installation options.
* added setup script to demonstrate how wrapper could look for CPU installations
* removed setup.sh as unnessescary for cpu only builds
* Initial commit for merge_cdb method
* Added indentation to make merge_cdb a class method
* fixed syntax issues
* more lint fixes
* more lint fixes
* bug fixes of merge_cdb
* removed print statements
* Added commentary on disk space usage of pytorch-gpu
* removed merge_cdb from branch
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Co-authored-by: adam-sutton-1992 <[email protected]>
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@@ -38,6 +38,17 @@ To download any of these models, please [follow this link](https://uts.nlm.nih.g
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-**Paper**: [What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization](https://www.aclweb.org/anthology/2021.naacl-main.382.pdf)
To install the latest version of MedCAT run the following command:
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```
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pip install medcat
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```
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Normal installations of MedCAT will install torch-gpu and all relevant dependancies (such as CUDA). This can require as much as 10 GB more disk space, which isn't required for CPU only usage.
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To install the latest version of MedCAT without torch GPU support run the following command:
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