Instructions to use jklmjklm/phi3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use jklmjklm/phi3.5 with MLC-LLM:
# 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
- Xet hash:
- 09b693ea2ce6d251e05e402b92f70b871f36aece845e18088ed93396af11a68d
- Size of remote file:
- 25.2 MB
- SHA256:
- fc8e92e2a4d31942248f60e489976322de3eaaf57ab842ad54e4380436f06dea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.