@@ -103,6 +103,24 @@ Run: `python -m pip install --upgrade pip` followed by `pip install -r requireme
|
||||
If issues occur, try the fallback:
|
||||
`pip install --retries 5 --timeout 15 --no-cache-dir --force-reinstall -r requirements.txt`
|
||||
|
||||
###### Arch users:
|
||||
|
||||
Some updates break dependencies. Most notably, numpy, scipy and gensim. To troubleshoot this, you can try many commands:
|
||||
|
||||
`sudo pacman -S python-numpy python-pandas python-scipy` This is not recommended, as pacman has no integration with pip (as far as I know)
|
||||
|
||||
Another possible solution if having build conflicts, is to update:
|
||||
|
||||
`sudo pacman -S gcc gcc-fortran python-setuptools python-wheel`
|
||||
|
||||
*Note:* gensim is broken if you have an updated version of scipy. You can either pin scipy to an older version, or
|
||||
erase gensim from the requirements.txt for the moment. (See: https://aur.archlinux.org/packages/python-gensim)
|
||||
|
||||
Lastly, so that the kernel is visible after step (6) in jupyter lab :
|
||||
`python -m ipykernel install --user --name=llmenv`
|
||||
`ipython kernel install --user --name=llmenv`
|
||||
|
||||
|
||||
6. **Start Jupyter Lab:**
|
||||
|
||||
From the `llm_engineering` folder, run: `jupyter lab`.
|
||||
|
||||
Reference in New Issue
Block a user