Instructions to use glasses/vit_base_patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/vit_base_patch16_224 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/vit_base_patch16_224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from glasses/vit_base_patch16_224: direct link, hf CLI and curl.
- Browser
- Download file 346 MB
-
https://huggingface.co/glasses/vit_base_patch16_224/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://glasses/vit_base_patch16_224/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/glasses/vit_base_patch16_224/resolve/main/pytorch_model.bin
346 MB
- Xet hash:
- 47406f0f069f87e3ebd46d93191f08abc966ac1cd2e4ea904d44bf2e86b66dc7
- Size of remote file:
- 346 MB
- SHA256:
- 23faf1c926bf61ad5d132e890f422905202b297f4fa8e46c3a4d561cc215d98a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.