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: 487 Bytes
3236af9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | #!/bin/bash
set -euo pipefail
REMOTE_HOST="${ICONOCLAST_REMOTE_HOST:-vp752@ilab.cs.rutgers.edu}"
REMOTE_DIR="${ICONOCLAST_REMOTE_DIR:-~/iconoclast}"
PROJECT_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
rsync -av --delete \
--exclude '.venv' \
--exclude '__pycache__' \
--exclude 'logs' \
--exclude '.pytest_cache' \
--exclude 'checkpoints*' \
--exclude 'results_cluster' \
"$PROJECT_ROOT"/ "$REMOTE_HOST:$REMOTE_DIR"/
echo "Synced $PROJECT_ROOT -> $REMOTE_HOST:$REMOTE_DIR"
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