Instructions to use simon123905/test0325 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simon123905/test0325 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="simon123905/test0325")# Load model directly from transformers import AutoModelForDepthEstimation model = AutoModelForDepthEstimation.from_pretrained("simon123905/test0325", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "data_format": "channels_first", | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": false, | |
| "ensure_multiple_of": 16, | |
| "image_mean": [ | |
| 0.42, | |
| 0.411, | |
| 0.296 | |
| ], | |
| "image_processor_type": "CHMv2ImageProcessorFast", | |
| "image_std": [ | |
| 0.213, | |
| 0.156, | |
| 0.143 | |
| ], | |
| "keep_aspect_ratio": true, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 384, | |
| "width": 384 | |
| }, | |
| "size_divisor": 16 | |
| } | |