Instructions to use afrias5/codellama-34b-Python-Score4096-54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/codellama-34b-Python-Score4096-54 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/codellama-34b-Python-Score4096-54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5b715561eb99e862058ab850dce924adc0034fbb4f1fc17e5ab67cdbfe69095
- Size of remote file:
- 3.26 GB
- SHA256:
- b326aef5de7bfa01b661c785355ee93016a39a14e97eac3f0303664585b538cf
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