Depth Estimation
Transformers
Safetensors
PyTorch
alpha-depth
feature-extraction
robotics
computer-vision
custom_code
Instructions to use prostochel097/alphaDepth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prostochel097/alphaDepth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="prostochel097/alphaDepth", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prostochel097/alphaDepth", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "AlphaUNet" | |
| ], | |
| "model_type": "alpha-depth", | |
| "auto_map": { | |
| "AutoConfig": "model.AlphaDepthConfig", | |
| "AutoModel": "model.AlphaUNet" | |
| }, | |
| "input_size": [3, 128, 128], | |
| "hidden_channels": 32, | |
| "transformers_version": "4.35.0" | |
| } |