Object Detection
Transformers
Safetensors
rt_detr_v2
document-layout-analysis
finance
rtdetr-v2
cuda
tf32
Instructions to use AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32") model = AutoModelForObjectDetection.from_pretrained("AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Publish owner-selected H5.1 as v1.5 with qualified CUDA profile and preserved tradeoffs
6536f3b verified Download model-selection.json from AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32/resolve/main/model-selection.json
- Command line
-
hf download hf://AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32/model-selection.json
-
curl -L -o model-selection.json https://huggingface.co/AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32/resolve/main/model-selection.json
1.21 kB
| { | |
| "completed_updates": 1024, | |
| "decision": "take it; owner considers improvement good", | |
| "frozen_numerical_screen_passed": false, | |
| "model_identity": "AutomatosX/AXDocLayout-M-v1.5-CUDA-TF32", | |
| "model_version": "1.5", | |
| "numeric_gate_reclassified_as_passed": false, | |
| "public_loader_pin_changed": false, | |
| "publication_authority": "owner explicitly requested this exact Hub repository", | |
| "published": true, | |
| "published_v14_changed": false, | |
| "release_selected": true, | |
| "schema": "ax-doclayout.owner-model-selection/1", | |
| "sdk_class_ids": [ | |
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| ], | |
| "selected": true, | |
| "selected_training_stage": "H51-title", | |
| "selection_authority": "owner directive after reported Title AP, precision, recall and table AP90 tradeoffs", | |
| "source_checkpoint_sha256": "44b75b2ca14d7d4756ca51d402d470d069f17ee99145717e1994549b32ef87d2", | |
| "source_git_revision": "adce6c2ddfc1977956fc180463ab221f780c8271", | |
| "unsupported_sdk_class_ids": [ | |
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| ], | |
| "weights_sha256": "d0949704220ee50d94359cb6417e3481ac4ef5078a9f63795989e9f5d76e9b7e" | |
| } | |