Instructions to use BAAI/Brainmu-SpikeCamera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/Brainmu-SpikeCamera with Transformers:
# Load model directly from transformers import SpikeConvFrontend model = SpikeConvFrontend.from_pretrained("BAAI/Brainmu-SpikeCamera", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| set -euo pipefail | |
| cd "$(dirname "$0")/.." | |
| command -v uv >/dev/null || { echo "Install uv first: https://docs.astral.sh/uv/getting-started/installation/"; exit 2; } | |
| ENV="${BRAINMU_ENV:-$PWD/.venv}" | |
| [[ ! -e "$ENV" ]] || { echo "Environment already exists: $ENV (not overwritten)"; exit 2; } | |
| uv venv --python 3.12 "$ENV" | |
| PY="$ENV/bin/python" | |
| uv pip install --python "$PY" torch==2.11.0 torchvision==0.26.0 --index-url https://download.pytorch.org/whl/cu130 | |
| uv pip install --python "$PY" -r requirements.txt packaging ninja wheel setuptools | |
| # No build isolation: compile against the torch installed above. | |
| MAX_JOBS="${MAX_JOBS:-4}" uv pip install --python "$PY" flash-attn==2.8.3.post1 --no-build-isolation | |
| "$PY" -c 'import torch, torchvision, flash_attn; print("Environment ready:", torch.__version__, torchvision.__version__, flash_attn.__version__)' | |
| echo "Run: bash scripts/test.sh" | |