Instructions to use afrias5/meta-codellama-7b-python-Score-78 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/meta-codellama-7b-python-Score-78 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/CodeLlama-7b-Python-hf") model = PeftModel.from_pretrained(base_model, "afrias5/meta-codellama-7b-python-Score-78") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad33f6edf2447eb9d47972ae44dde790926288c2ffbe865821c4f99b40ae369d
- Size of remote file:
- 8.5 kB
- SHA256:
- 3de0b95876ca715c9d5c31196abc0f99724956d090feb6959113c626ce34a242
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