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:
- 89ea4b93c91bd78d8ec203cd0756aef6b6e5347ac1e9ae914f01ecb4f6caff61
- Size of remote file:
- 23.9 GB
- SHA256:
- 44ca67b2d5c4f251b49b05eca503c145a84764934972dc6b39e68c6b7c34c7af
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.