Instructions to use facebook/vit-mae-huge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vit-mae-huge with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("facebook/vit-mae-huge") model = AutoModelForPreTraining.from_pretrained("facebook/vit-mae-huge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/vit-mae-huge: direct link, hf CLI and curl.
- Browser
- Download file 2.63 GB
-
https://huggingface.co/facebook/vit-mae-huge/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://facebook/vit-mae-huge/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/vit-mae-huge/resolve/main/pytorch_model.bin
2.63 GB
- Xet hash:
- 3b8c2c8d8dcc41d6dbc10e122d1fa019ccb3ad454401f359ad5e3192ecb0faac
- Size of remote file:
- 2.63 GB
- SHA256:
- 89404c28ea8289eaf371f926b9b947738e58135c4e094c2402b033c794414a68
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