Instructions to use smangrul/codellama-hugcoder-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smangrul/codellama-hugcoder-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "smangrul/codellama-hugcoder-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5bd8dfb80f48066929505d507effc074fd03f5b978a3cb0474b75b08801e535
- Size of remote file:
- 4.73 kB
- SHA256:
- b27de96491bed12be43d8e429fa172d180cea478a55ca37516cef63199aefd25
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