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:
- e3238b8a75e15c129e7d75fee5418d07f0c2b036157277ed1f4193c541f4f58d
- Size of remote file:
- 35.9 GB
- SHA256:
- 3199b8d3cab97e092e074631168b54327499dc79f9fdb65f206c31b7665e5867
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.