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
Download control/midtrain/training_started.json from arcadia-impact/scimt-dispatch-final-v1: direct link, hf CLI and curl.
- Browser
- Download file 253 Bytes
-
https://huggingface.co/arcadia-impact/scimt-dispatch-final-v1/resolve/main/control/midtrain/training_started.json
- Command line
-
hf download hf://arcadia-impact/scimt-dispatch-final-v1/control/midtrain/training_started.json
-
curl -L -o training_started.json https://huggingface.co/arcadia-impact/scimt-dispatch-final-v1/resolve/main/control/midtrain/training_started.json
253 Bytes
| { | |
| "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" | |
| } | |