Instructions to use HaadesX/Iconoclast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaadesX/Iconoclast with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaadesX/Iconoclast", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scripts/bootstrap_and_submit_rutgers_phi35_mini_nullspace_benchmark.sh from HaadesX/Iconoclast: direct link, hf CLI and curl.
- Browser
- Download file 444 Bytes
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https://huggingface.co/HaadesX/Iconoclast/resolve/main/scripts/bootstrap_and_submit_rutgers_phi35_mini_nullspace_benchmark.sh
- Command line
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hf download hf://HaadesX/Iconoclast/scripts/bootstrap_and_submit_rutgers_phi35_mini_nullspace_benchmark.sh
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curl -L -o bootstrap_and_submit_rutgers_phi35_mini_nullspace_benchmark.sh https://huggingface.co/HaadesX/Iconoclast/resolve/main/scripts/bootstrap_and_submit_rutgers_phi35_mini_nullspace_benchmark.sh
444 Bytes
| set -euo pipefail | |
| REMOTE_HOST="${ICONOCLAST_REMOTE_HOST:-vp752@ilab.cs.rutgers.edu}" | |
| REMOTE_DIR="${ICONOCLAST_REMOTE_DIR:-~/iconoclast}" | |
| "$(dirname "$0")/sync_to_rutgers.sh" | |
| ssh "$REMOTE_HOST" "cd $REMOTE_DIR && bash scripts/setup_rutgers_env.sh && ICONOCLAST_CONFIG_TEMPLATE=config.phi35_mini.nullspace_benchmark.rutgers.toml ICONOCLAST_RUN_NAME=phi35-mini-rutgers-nullspace-benchmark-v2 sbatch scripts/run_rutgers_ilabs.slurm" | |