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:
- 5c9995c620553ec96daed6264b4264079f81576668bdeeceda57a0d662b01706
- Size of remote file:
- 88.9 MB
- SHA256:
- e2b01472ec85781304ffa5599e6c250f756348140b294277e8fb394f0b4cbdec
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