Instructions to use ashwincv0112/code-llama-python-finetune2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashwincv0112/code-llama-python-finetune2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Python-hf") model = PeftModel.from_pretrained(base_model, "ashwincv0112/code-llama-python-finetune2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb3fc013a1f0dc20bf02b558151bf130c10fee632d360b0fdfdffe5601e0fb3e
- Size of remote file:
- 16.8 MB
- SHA256:
- fa9ebc045a8dab341a687cb4fd3558ca6e3a83587d847913d9d6edcf1ea668f0
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