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:
- 39bf25d4b408705f3cad494ae3b04bde2bba06eccaef7450a6742ebcdfc02d04
- Size of remote file:
- 21.2 MB
- SHA256:
- 434f67218aca17cb9ecd3c8a259ae0f7d87429f3ce68efb4d77294a920eea537
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.