Image Feature Extraction
Transformers
Safetensors
mage_vit
feature-extraction
mage-vl
vision-encoder
codec-vit
video-understanding
custom_code
Instructions to use xocialize/Mage-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xocialize/Mage-ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="xocialize/Mage-ViT", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xocialize/Mage-ViT", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __init__.py from xocialize/Mage-ViT: direct link, hf CLI and curl.
- Browser
- Download file 94 Bytes
-
https://huggingface.co/xocialize/Mage-ViT/resolve/main/__init__.py
- Command line
-
hf download hf://xocialize/Mage-ViT/__init__.py
-
curl -L -o __init__.py https://huggingface.co/xocialize/Mage-ViT/resolve/main/__init__.py
94 Bytes
| from .configuration_mage_vit import MageViTConfig | |
| from .modeling_mage_vit import MageViTModel | |