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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaadesX/Iconoclast", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 444 Bytes
3236af9 | 1 2 3 4 5 6 7 8 9 10 | #!/bin/bash
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"
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