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
| 55b0683be1d75355a69720bc30b900e171579f7f1fe345c710dd05e14d5d7af9 model.safetensors | |
| fca6481f3afcf0cd3a9d9d99952655556c443e7ab3178706e77014c17e4cba8d multitask_heads.pt | |
| ec7765685d5acb46e4a7a9f23837212f17092074f90fafcbc9f1a41151995f82 semantic_token_head.pt | |
| f5086090c863144dc674bcebdd5a722d2391e6df017dbca3bf9636b52aceb88d semantic_token_head_metrics.json | |
| a28a731c5ce92c719837ef11d8be440abd7ae73bd84d6a6b4a633e3e84cc0946 config.json | |
| c93a901ebe31ede9df8e8a5f5a355455eb9826c6eeba6aa54b8414526fcf5625 label_schema.json | |
| 8a396c0ca3e5db082e4cbd5b48e40a344a335a78273f295b944005c6ee9dce48 inference_config.json | |
| 6c8aaa9a542084f2457eab775d4eeb51f92a70c0fd9de28d5edb0ddec3c08d30 tokenizer.json | |