Instructions to use happyme531/Qwen2.5-VL-3B-Instruct-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use happyme531/Qwen2.5-VL-3B-Instruct-RKLLM with RKLLM:
# 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:
- 48e5d81fd15cb1fcf2232dc36c9a19f8374846932e657e112de0906c3ce225af
- Size of remote file:
- 1.56 GB
- SHA256:
- 401402b3cfa6ab292bb7ae51c208f51a14c36cf1a534ab5392b24efc315fb60f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.