Instructions to use bgsach/WizardCoder-Python-13B-V1.0-ct2-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bgsach/WizardCoder-Python-13B-V1.0-ct2-float16 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bgsach/WizardCoder-Python-13B-V1.0-ct2-float16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ab83fbf4f8491cb1f53615d0e53155d6f42645d00626135493e6ab93dd16906
- Size of remote file:
- 26 GB
- SHA256:
- 48eaaf3e906fb1978a56a865201181c8e7f6b57eb4ddb7948591ca7ed3df73da
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