Image Feature Extraction
Transformers
Safetensors
mage_vit
feature-extraction
mage-vl
vision-encoder
codec-vit
video-understanding
custom_code
Instructions to use microsoft/Mage-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/Mage-ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="microsoft/Mage-ViT", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/Mage-ViT", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Fix license references to MIT in model card body
Verified signaturede3bd80 -
Update license to MIT
Verified signature7305900
-
Upload Mage-ViT: standalone codec-native visual encoder (ViT pre-training only)
Verified signature28ba2c0 -
initial commit
Verified signature27709a6