Instructions to use LiheYoung/depth_anything_vitl14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiheYoung/depth_anything_vitl14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="LiheYoung/depth_anything_vitl14")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiheYoung/depth_anything_vitl14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LiheYoung/depth_anything_vitl14: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/LiheYoung/depth_anything_vitl14/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://LiheYoung/depth_anything_vitl14/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LiheYoung/depth_anything_vitl14/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- 0de44102f1e94e219396a11083793cf25342a224530d6df49811d1c5921968e9
- Size of remote file:
- 1.34 GB
- SHA256:
- 6fda5199f0043e91e1c6117df00313db57c630d8ed0306070b43da1ecfffbd9d
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