Instructions to use afrias5/meta-codellama-34b-python-Score-70 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/meta-codellama-34b-python-Score-70 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/CodeLlama-34b-Python-hf") model = PeftModel.from_pretrained(base_model, "afrias5/meta-codellama-34b-python-Score-70") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3606ea4655887ab9fd109d567079d91a06836063b79dc8b22b898e61cb06a12
- Size of remote file:
- 3.17 GB
- SHA256:
- 4541d6a16d26c6f5ce26f07b68d1fcda7b35fcc7c51730e3484986f22b9fe923
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