Instructions to use Nhines/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 Nhines/WizardCoder-Python-34B-V1.0-llamafile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nhines/WizardCoder-Python-34B-V1.0-llamafile", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac48eb6378e13f26415ffccd0c65b148b39f201c4a074083b98268b46928b207
- Size of remote file:
- 17.8 GB
- SHA256:
- d9c60c34991800c27b12c2609c6f34c0cf97fe427a63199f6b30dbd1e2252033
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.