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:
- 9c2661784ecaaac8ed66a792a43c4adeecf289594c6a5c00063fe1500bf73582
- Size of remote file:
- 25.2 MB
- SHA256:
- 7d4e6c823be864e4d5e0f7d0e813da3b0b51024c0b79f3fc221665fe036748b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.