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:
- d0150ce6475f3f657a421ba638ab66d6b6659d21fe2945cef17086a98b84f7fd
- Size of remote file:
- 16.3 GB
- SHA256:
- d87a6518aa70aea7b99ac3eb347d7bce3866468130871a86a88d8ead02d3da2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.