# Lokale Entwicklung/Training auf einem GPU-Rechner (venv .venv, CUDA 12.8, noetig fuer RTX-50-Karten):
#   python -m venv .venv
#   .venv\Scripts\python -m pip install torch --index-url https://download.pytorch.org/whl/cu128
#   .venv\Scripts\python -m pip install -r requirements.txt
numpy>=1.26
transformers>=4.45
accelerate
jevlike @ git+https://github.com/vinnylarouge/jevlike@94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452