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:
- b81ed3831b3547f5ec66d67bbf08356f568adbd87358cc14a98bcd64d85ec142
- Size of remote file:
- 26.3 MB
- SHA256:
- 6d9ec478ec2e96d0d88597ea748bc4727e696dfa7875a27fe826724f43b6c716
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.