Instructions to use ar-mine/cosmos-robometer-private-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ar-mine/cosmos-robometer-private-code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ar-mine/cosmos-robometer-private-code", device_map="auto") - PEFT
How to use ar-mine/cosmos-robometer-private-code with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download derived/action_reports/summary.json from ar-mine/cosmos-robometer-private-code: direct link, hf CLI and curl.
- Browser
- Download file 1.76 kB
-
https://huggingface.co/ar-mine/cosmos-robometer-private-code/resolve/main/derived/action_reports/summary.json
- Command line
-
hf download hf://ar-mine/cosmos-robometer-private-code/derived/action_reports/summary.json
-
curl -L -o summary.json https://huggingface.co/ar-mine/cosmos-robometer-private-code/resolve/main/derived/action_reports/summary.json
1.76 kB
| { | |
| "created_at": "2026-08-26T17:15:00+08:00", | |
| "policy": { | |
| "canonicalized_during_recovery": false, | |
| "imputed_actions": false, | |
| "mutated_frozen_stage2_cache": false, | |
| "preserved_raw_action_space": true | |
| }, | |
| "profile": "stage2_core_v1", | |
| "results": { | |
| "autoeval": { | |
| "action_dim": 7, | |
| "attempted_rows": 8677, | |
| "recovered_rows": 5939, | |
| "rejected_rows": 20, | |
| "scope": "full", | |
| "source_has_no_action_rows": 2718, | |
| "validation_errors": 0 | |
| }, | |
| "libero_success": { | |
| "action_dim": 7, | |
| "attempted_rows": 1709, | |
| "recovered_rows": 1709, | |
| "rejected_rows": 0, | |
| "scope": "full", | |
| "source_has_no_action_rows": 0, | |
| "validation_errors": 0 | |
| }, | |
| "racer": { | |
| "action_dim": 9, | |
| "attempted_rows": 594, | |
| "expected_full_stage2_rows": 29115, | |
| "recovered_rows": 593, | |
| "rejected_rows": 1, | |
| "scope": "pilot_insert_onto_square_peg", | |
| "source_has_no_action_rows": 0, | |
| "validation_errors": 0 | |
| }, | |
| "roboarena": { | |
| "action_dim": 8, | |
| "attempted_rows": 12379, | |
| "recovered_rows": 12379, | |
| "rejected_rows": 0, | |
| "scope": "full", | |
| "source_has_no_action_rows": 0, | |
| "validation_errors": 0 | |
| } | |
| }, | |
| "schema_version": "stage2_action_sidecar_v1", | |
| "totals_for_attempted_scope": { | |
| "attempted_rows": 23359, | |
| "recovered_rows": 20620, | |
| "rejected_rows": 21, | |
| "source_has_no_action_rows": 2718, | |
| "validation_errors": 0 | |
| }, | |
| "unattempted_stage2_rows": { | |
| "fino_net_exact_action_unavailable": 229, | |
| "libero_failure_exact_action_unavailable": 1473, | |
| "metaworld_provenance_pending": 100, | |
| "motif_exact_action_unavailable": 83, | |
| "racer_remaining_full_scope": 28521, | |
| "total": 30406 | |
| } | |
| } | |