Depth Estimation
Transformers
Safetensors
camera_depth_model
feature-extraction
camera-depth-model
rgbd
robotics
custom_code
Instructions to use bigshanedogg/Camera-Depth-Model-Kinect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Camera-Depth-Model-Kinect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="bigshanedogg/Camera-Depth-Model-Kinect", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/Camera-Depth-Model-Kinect", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from bigshanedogg/Camera-Depth-Model-Kinect: direct link, hf CLI and curl.
- Browser
- Download file 2.64 GB
-
https://huggingface.co/bigshanedogg/Camera-Depth-Model-Kinect/resolve/main/model.safetensors
- Command line
-
hf download hf://bigshanedogg/Camera-Depth-Model-Kinect/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bigshanedogg/Camera-Depth-Model-Kinect/resolve/main/model.safetensors
2.64 GB
- Xet hash:
- e40c3a8a71db557a729e6c18590e3f37966736c0cbcc2b5355d71f93aa833a01
- Size of remote file:
- 2.64 GB
- SHA256:
- 5d7c7a711cf91c570d8b58d6db05ba74547d8e50207068f442c3002b10274286
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