Instructions to use rreit/WizardCoder1B-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/WizardCoder1B-StaproCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WizardLM/WizardCoder-1B-V1.0") model = PeftModel.from_pretrained(base_model, "rreit/WizardCoder1B-StaproCoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d7d69d12a0fcc1b77e5b620054baee16f1bdb0a3de6602266d2d44f2b186e20
- Size of remote file:
- 4.92 kB
- SHA256:
- 18885c42e4076b46ca40564e87cbb18a02ce05b78ccf4c6ec372ec9d729ee27e
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