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requirements.txt
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35 lines (29 loc) · 742 Bytes
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# Core ML / training
torch>=2.0.0
transformers>=4.36.0
peft>=0.7.0
bitsandbytes>=0.41.0
# Datasets / evaluation
datasets>=2.14.0
evaluate>=0.4.0
# Training acceleration / distributed
accelerate>=0.25.0
# Optional / tooling
jupyter
notebook
matplotlib
seaborn
# Binary format helpers
safetensors
# Minimal deps for the optional FastAPI demo
fastapi
uvicorn[standard]
pydantic
# Notes:
# - This file contains minimum recommended versions used by the project.
# - For GPU support, install a CUDA-compatible build of torch as documented
# at https://pytorch.org/get-started/locally/ (the plain `torch` spec
# above may pull a CPU-only build on some platforms). Adjust as needed.
# Streamlit dashboard and data handling
streamlit
pandas