Instructions to use monsterapi/codellama_7b_DolphinCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monsterapi/codellama_7b_DolphinCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "monsterapi/codellama_7b_DolphinCoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3621dd62a5ed287bd85324c90a3fd984c6fa8eb4c03cffb9e842f12c496fb5ad
- Size of remote file:
- 134 MB
- SHA256:
- b681cec4aa2bb45b5ae64fac779f404fe6a6ae13110526f992bd1024cd682098
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.