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-semantic-token-head-v1", | |
| "labels": [ | |
| "O", | |
| "B_ENTITY", | |
| "I_ENTITY", | |
| "B_RELATION", | |
| "I_RELATION" | |
| ], | |
| "train_rows": 3288, | |
| "validation_rows": 1065, | |
| "best_validation_token_f1": 0.9948555599525128, | |
| "frozen_backbone": true, | |
| "elapsed_seconds": 23.438019558787346, | |
| "history": [ | |
| { | |
| "token_precision": 0.9972908366533865, | |
| "token_recall": 0.9881572714353387, | |
| "token_f1": 0.9927030456852792, | |
| "token_accuracy": 0.9926397800445557, | |
| "epoch": 1, | |
| "train_loss": 0.14505504634122826 | |
| }, | |
| { | |
| "token_precision": 0.9972925625099538, | |
| "token_recall": 0.9887888836254539, | |
| "token_f1": 0.9930225182366, | |
| "token_accuracy": 0.9929705858230591, | |
| "epoch": 2, | |
| "train_loss": 0.029710620035896602 | |
| }, | |
| { | |
| "token_precision": 0.997296007634802, | |
| "token_recall": 0.9900521080056846, | |
| "token_f1": 0.9936608557844692, | |
| "token_accuracy": 0.9936321377754211, | |
| "epoch": 3, | |
| "train_loss": 0.022430925611949083 | |
| }, | |
| { | |
| "token_precision": 0.9971383147853736, | |
| "token_recall": 0.9903679141007421, | |
| "token_f1": 0.993741582825002, | |
| "token_accuracy": 0.9937148690223694, | |
| "epoch": 4, | |
| "train_loss": 0.019456134268164057 | |
| }, | |
| { | |
| "token_precision": 0.9969822109275731, | |
| "token_recall": 0.9911574293383862, | |
| "token_f1": 0.9940612875128673, | |
| "token_accuracy": 0.9940456748008728, | |
| "epoch": 5, | |
| "train_loss": 0.017276593601530037 | |
| }, | |
| { | |
| "token_precision": 0.9972994440031772, | |
| "token_recall": 0.9913153323859151, | |
| "token_f1": 0.9942983845422869, | |
| "token_accuracy": 0.994293749332428, | |
| "epoch": 6, | |
| "train_loss": 0.015938257265076475 | |
| }, | |
| { | |
| "token_precision": 0.9973011589141133, | |
| "token_recall": 0.9919469445760303, | |
| "token_f1": 0.9946168461051298, | |
| "token_accuracy": 0.9944591522216797, | |
| "epoch": 7, | |
| "train_loss": 0.014872589008430543 | |
| }, | |
| { | |
| "token_precision": 0.9973024436686766, | |
| "token_recall": 0.9924206537186168, | |
| "token_f1": 0.9948555599525128, | |
| "token_accuracy": 0.9947072267532349, | |
| "epoch": 8, | |
| "train_loss": 0.014309850005993566 | |
| } | |
| ] | |
| } | |