Instructions to use mozilla-ai/WizardCoder-Python-34B-V1.0-llamafile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mozilla-ai/WizardCoder-Python-34B-V1.0-llamafile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mozilla-ai/WizardCoder-Python-34B-V1.0-llamafile", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83f69038137528f998efc042a39e82ab3d7f198a2084d8ed65a552e706de8014
- Size of remote file:
- 14.6 GB
- SHA256:
- c7814aa4793a7c17995e5922fe4d6ad887191ee377adf205e6e612591dba6d3e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.