Feature Extraction
Transformers
Safetensors
English
modernbert
autonomous-driving
structured-output
compositional-semantics
research-only
text-embeddings-inference
Instructions to use UNIC0RN-Zhu/modernbert-drive-command-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UNIC0RN-Zhu/modernbert-drive-command-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="UNIC0RN-Zhu/modernbert-drive-command-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("UNIC0RN-Zhu/modernbert-drive-command-base") model = AutoModel.from_pretrained("UNIC0RN-Zhu/modernbert-drive-command-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema": "modernbert-driving-command-test-v1", | |
| "model": "/root/autodl-tmp/models/modernbert-drive-command-epoch2", | |
| "dataset": "/root/autodl-tmp/LMM-in-AutoDrive/structured_command_parser/data/processed/english_pseudolabels/test.jsonl", | |
| "metrics": { | |
| "samples": 66270, | |
| "action_exact_match": 0.9870076957899502, | |
| "action_micro_precision": 0.9854056026269915, | |
| "action_micro_recall": 0.9703780590043515, | |
| "action_micro_f1": 0.9778340976747929, | |
| "status_accuracy": 0.9939489965293496, | |
| "category_accuracy": 0.9915044514863437, | |
| "urgency_accuracy": 0.9991398822996831, | |
| "direction_exact_match": 0.997540365172778, | |
| "change_accuracy": 0.9982194054625019 | |
| }, | |
| "metric_scope": "PSEUDO_LABEL_TEACHER_AGREEMENT_NOT_HUMAN_GOLD_ACCURACY" | |
| } | |