Depth Estimation
Transformers
Safetensors
tipsv2_dpt
feature-extraction
vision
surface-normals
semantic-segmentation
dense-prediction
custom_code
Instructions to use google/tipsv2-so400m14-dpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tipsv2-so400m14-dpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="google/tipsv2-so400m14-dpt", trust_remote_code=True)# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("google/tipsv2-so400m14-dpt", trust_remote_code=True) model = AutoModel.from_pretrained("google/tipsv2-so400m14-dpt", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Commit History
Remove image_encoder.py and update configuration_dpt.py 11c04fa verified
Remove image_encoder.py and update configuration_dpt.py ee319e4 verified
Remove image_encoder.py and update configuration_dpt.py bb16540 verified
Remove image_encoder.py b94e3be verified
Update files for transformers integration 800359d verified
Update example image URL to use HF-hosted ADE20K image 551339b
Gabriele commited on
Add navigation table linking all variants and DPT heads 824676e
Gabriele commited on
Revert "Use device-agnostic code instead of hardcoded .cuda()" 5300c3b
Gabriele commited on
Use device-agnostic code instead of hardcoded .cuda() a8bfb7d
Gabriele commited on
Add print statements with descriptive comments to code examples b800f0a
Gabriele commited on
Use cat photo, add print statements to code examples 982002b
Gabriele commited on
Fix zero-shot segmentation section, use public example image 4482ee7
Gabriele commited on
Fix backbone link in Model details 964153d
Gabriele commited on
Update README 06ff717
Gabriele commited on