Instructions to use Noodle-bg/ccode-llama-instruct-7b-Python_assistant-Sft2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Noodle-bg/ccode-llama-instruct-7b-Python_assistant-Sft2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "Noodle-bg/ccode-llama-instruct-7b-Python_assistant-Sft2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60ce770320d39f4f62b72820444fff947f3c05f82674baaffe41412c7c802c6e
- Size of remote file:
- 1.28 GB
- SHA256:
- 2ec3e71d8bc0258e599ec9c7c54a292062cd4deb9a02c0271619ef243236364c
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