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:
- 04cb95e7c47cd3e4cd0d0b22a6c9d2bc5150a947e65bb06d6ddb987b5439cf2e
- Size of remote file:
- 22.6 MB
- SHA256:
- 21e012d5b8a5525ffbb79283e482464eb0a76d7c2ecd2aaaad5543e040eb1bc6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.