Instructions to use michaelfeil/ct2fast-WizardCoder-15B-V1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-WizardCoder-15B-V1.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-WizardCoder-15B-V1.0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c48ea8cd564cad4ab64631974752f1157e7828e6cf72928686bfd0f3bb87d05
- Size of remote file:
- 15.6 GB
- SHA256:
- c6444e82fdad73d7718b69404e70d58554157779d76047094ca3c1eaf0353c53
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