Instructions to use arcadia-impact/scimt-dispatch-final-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcadia-impact/scimt-dispatch-final-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcadia-impact/scimt-dispatch-final-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 253 Bytes
20f1659 | 1 2 3 4 5 6 7 8 9 | {
"schema_version": "scimt_training_health_v1",
"status": "training_started",
"global_step": 1,
"finite_loss": 1.3612060546875,
"source_commit": "4a63e52505d33105d48c3aed0454a99e2e0f0591",
"observed_at": "2026-08-31T02:22:04.650574+00:00"
}
|