Instructions to use aac6fef/laya-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use aac6fef/laya-coreml with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download model.mlpackage/Data/com.apple.CoreML/weights/weight.bin from aac6fef/laya-coreml: direct link, hf CLI and curl.
- Browser
- Download file 843 MB
-
https://huggingface.co/aac6fef/laya-coreml/resolve/main/model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
- Command line
-
hf download hf://aac6fef/laya-coreml/model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/aac6fef/laya-coreml/resolve/main/model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
843 MB
- Xet hash:
- e2cb4782e93e9c244fac84de0ed8ea71744e677986bba86d2bda5a77b85a911d
- Size of remote file:
- 843 MB
- SHA256:
- 5872b9f6530c20a845b69c0cb75aa141e9c89ffdd5f36529c3708cec9b7a7a83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.