Instructions to use codewizardUV/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codewizardUV/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "codewizardUV/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fcc3a16fd33944a3ebda7e07c4848361510fa1c58abf3b12df8aaf84f90a7e5
- Size of remote file:
- 39.3 MB
- SHA256:
- 4a786e4d35d5a6a5513391e4e8eeaa48f47d8c5ea5bee38054fb613cba1a611a
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