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:
- 667e15540c4d1c05893da3c82536b05160913478457979c844818dbf9b6edf0f
- Size of remote file:
- 23.9 GB
- SHA256:
- 24f7b068df85b107369313da9dc940edccaac0cd619d340e6ed8ea27ee7ddcac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.