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title: CS485 Milestone 2 | |
emoji: 🏢 | |
colorFrom: red | |
colorTo: blue | |
sdk: streamlit | |
sdk_version: 1.17.0 | |
app_file: test-app.py | |
pinned: false | |
# CS482-Fine_Tuning_Language_Models | |
I elected to use an Anaconda Virtual Environment, although that decision will likely change in the near future. | |
If you don't have Anaconda installed you can download it from here: https://docs.anaconda.com/anaconda/install/index.html | |
With Anaconda installed, we then make a new conda environment using the command "conda create --name your_env_name" | |
https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html | |
We then intall the following packages: | |
-----PyTorch | |
-----Transformers | |
I already have PyTorch installed, but to download PyTorch into your Conda virtual environment activate your | |
virtual environment using the command "conda activate your_env_name" | |
then run the command "conda install pytorch torchvision torchaudio -c pytorch" | |
For Transformers you can use the command "conda install -c conda-forge transformers" (REMEMBER TO | |
INSTALL PACKAGES IN YOUR VIRTUAL ENVIRONMENT ONLY) | |
I did not have Transformers installed yet, so below is a screenshot of me downloading and installing | |
the package into my Conda Virtual Environment called "base" | |
<img width="595" alt="Screen Shot 2023-03-26 at 8 45 42 PM" src="https://user-images.githubusercontent.com/62716243/227816988-b945cb49-54a4-47cc-8f02-50f2d5d287c7.png"> | |
Below are screenshots that confirm PyTorch and Transformers are installed in the Conda environment "base" | |
<img width="536" alt="Screen Shot 2023-03-26 at 8 44 42 PM" src="https://user-images.githubusercontent.com/62716243/227817071-ee3e2f70-21b4-4100-b4f3-5c963608aa61.png"> | |
<img width="428" alt="Screen Shot 2023-03-26 at 8 44 23 PM" src="https://user-images.githubusercontent.com/62716243/227817073-698df191-beab-48ea-bb48-4f46073577fd.png"> | |