Instructions to use afrias5/meta-codellama-7b-python-Feed-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-Feed-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-Feed-78") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d23d1567229c47681c4a0df14eeaf0b2e32c21f022b2e7f0678bf91eb6414f6
- Size of remote file:
- 8.5 kB
- SHA256:
- 35e60ed93f33814d663c3b7d4c230af6530f329ce3521e8e25db350f9f773d9d
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