Instructions to use ashwincv0112/code-llama-13b-python-finetune2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashwincv0112/code-llama-13b-python-finetune2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-Python-hf") model = PeftModel.from_pretrained(base_model, "ashwincv0112/code-llama-13b-python-finetune2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7b2ba6867d5a9c2cc14162d1acd3a48b44ac8b45eb937bb756a434c62f8fbf6
- Size of remote file:
- 26.3 MB
- SHA256:
- 1b19de3796b2849577444713a359d6d2e66a6ce0e849032a37923491a4678d6d
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