conda create -n klab_cpu python=3.9.23 -y
conda activate klab_cpu
python --version
# Should show Python 3.9.23
pip install -r requirements-cpu.txt
python - <<'PY'
import sys
import numpy
import scipy
import pandas
import sklearn
import torch
import torchvision
import transformers
print("Python:", sys.version)
print("NumPy:", numpy.__version__)
print("SciPy:", scipy.__version__)
print("Pandas:", pandas.__version__)
print("scikit-learn:", sklearn.__version__)
print("PyTorch:", torch.__version__)
print("Torchvision:", torchvision.__version__)
print("Transformers:", transformers.__version__)
print("CUDA version:", torch.version.cuda)
print("CUDA available:", torch.cuda.is_available())
PY
conda create -n klab_gpu python=3.9.23 -y
conda activate klab_gpu
python --version
pip install -r requirements-gpu.txt