Instructions to use anipanii/AskWise-PromptEngineer-1.5B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use anipanii/AskWise-PromptEngineer-1.5B-q4f16_1-MLC 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:
- 0e8ab24a69a6bed75e62c2dcecbdaa9ed7273c52db0d6b7af0c2bc95abbee1f0
- Size of remote file:
- 26.3 MB
- SHA256:
- 3bc49f6cecc08118b0f405a9eea2916b8faaa0c653710a3f2a8318184a90ef44
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.