Object Detection
Transformers
Safetensors
rt_detr_v2
document-layout-analysis
finance
rtdetr-v2
cuda
tf32
ax-pdf
Instructions to use AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32") model = AutoModelForObjectDetection.from_pretrained("AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download runtime-profile.json from AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32: direct link, hf CLI and curl.
- Browser
- Download file 872 Bytes
-
https://huggingface.co/AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32/resolve/main/runtime-profile.json
- Command line
-
hf download hf://AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32/runtime-profile.json
-
curl -L -o runtime-profile.json https://huggingface.co/AutomatosX/AXDocLayout-M-v1.4-CUDA-TF32/resolve/main/runtime-profile.json
872 Bytes
| { | |
| "activation_dtype": "float32", | |
| "all_matmul_tf32_qualified": false, | |
| "autocast": false, | |
| "cuda_matmul_allow_tf32": false, | |
| "cudnn_allow_tf32": true, | |
| "device": "cuda", | |
| "id": "cuda-fp32-cudnn-tf32/1", | |
| "input": "RGB640directresize", | |
| "new_packaged_example_cuda_rerun": false, | |
| "onnx_artifact_included": false, | |
| "preprocessor_sha256": "cd38cd59999e7a95d68e487fbe5132df3d4e5c32a0836add57e6126ba0c4eaf1", | |
| "qualification_source": "existing final-H5 six-panel CUDA evaluation and exact EMA export", | |
| "schema": "ax-doclayout.runtime-profile/1", | |
| "storage_dtype": "float32", | |
| "tensorrt_qualified": false, | |
| "tested_cuda": "12.9", | |
| "tested_cudnn": 92000, | |
| "tested_gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition", | |
| "tested_torch": "2.12.1+cu129", | |
| "tested_transformers": "4.53.3", | |
| "tf32_scope": "cuDNN operations only; GEMM matmul TF32 is disabled" | |
| } | |