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:
- afc2302d1d01b3720463a984c5f76b723dc8951eb3baf6a9696a374b17a3a87f
- Size of remote file:
- 8.5 kB
- SHA256:
- bcf9e8d2db9630a1c282eac6c3c414f6f58663e4bbacdee32c17ff7d49046188
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