Object Detection
Transformers
Safetensors
Ukrainian
rt_detr_v2
rt-detr
rt-detrv2
document-layout-analysis
handwritten
ukrainian
rukopys
docling
Eval Results (legacy)
Instructions to use Hukyl/rt-detrv2-heron-101-rukopys with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hukyl/rt-detrv2-heron-101-rukopys with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Hukyl/rt-detrv2-heron-101-rukopys")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("Hukyl/rt-detrv2-heron-101-rukopys") model = AutoModelForObjectDetection.from_pretrained("Hukyl/rt-detrv2-heron-101-rukopys", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model": "docling-project/docling-layout-heron-101", | |
| "freeze": "none", | |
| "hyperparams": { | |
| "epochs": 60, | |
| "batch_size": 32, | |
| "learning_rate": 0.0001, | |
| "warmup_ratio": 0.1, | |
| "weight_decay": 0.0001, | |
| "patience": 15, | |
| "num_workers": 8, | |
| "image_size": 640, | |
| "seed": 42, | |
| "eval_batch_size": null, | |
| "eval_epochs": 1 | |
| }, | |
| "metrics": { | |
| "mAP50": 0.7685431241989136, | |
| "mAP50-95": 0.48186588287353516, | |
| "precision": 0.972972972972973, | |
| "recall": 0.013693419551160137 | |
| }, | |
| "per_class_map": { | |
| "handwritten": { | |
| "map50": 0.8477674722671509, | |
| "map50_95": 0.5042294859886169 | |
| }, | |
| "printed": { | |
| "map50": 0.8213199377059937, | |
| "map50_95": 0.44526106119155884 | |
| }, | |
| "formula": { | |
| "map50": 0.7972562313079834, | |
| "map50_95": 0.5241776704788208 | |
| }, | |
| "table": { | |
| "map50": 0.8553413152694702, | |
| "map50_95": 0.4178851842880249 | |
| }, | |
| "annotation": { | |
| "map50": 0.32461845874786377, | |
| "map50_95": 0.15674670040607452 | |
| }, | |
| "image": { | |
| "map50": 0.9504950642585754, | |
| "map50_95": 0.7693069577217102 | |
| }, | |
| "graph": { | |
| "map50": 0.7830032706260681, | |
| "map50_95": 0.5554540753364563 | |
| } | |
| } | |
| } |