Instructions to use apple/DFN5B-CLIP-ViT-H-14-378 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use apple/DFN5B-CLIP-ViT-H-14-378 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:apple/DFN5B-CLIP-ViT-H-14-378') tokenizer = open_clip.get_tokenizer('hf-hub:apple/DFN5B-CLIP-ViT-H-14-378') - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from apple/DFN5B-CLIP-ViT-H-14-378: direct link, hf CLI and curl.
- Browser
- Download file 3.95 GB
-
https://huggingface.co/apple/DFN5B-CLIP-ViT-H-14-378/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://apple/DFN5B-CLIP-ViT-H-14-378/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/apple/DFN5B-CLIP-ViT-H-14-378/resolve/main/pytorch_model.bin
3.95 GB
- Xet hash:
- ffe9889b854a30e94a60f411ea3dacbbc8f55e50f30f2bd5aa86ce8e35a7fa52
- Size of remote file:
- 3.95 GB
- SHA256:
- a1589167784b6bd32f39694101e49f79a3f872c2bed1fb5762380228623c540b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.