Instructions to use k1h0/codellama-7b-qlora-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use k1h0/codellama-7b-qlora-java with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "k1h0/codellama-7b-qlora-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 150d4eb219bafb096b2043e9d8ebc1cc85a1c95cacb00cb98f8edd79c3c97016
- Size of remote file:
- 67.1 MB
- SHA256:
- 44de44c669625cc80714e1d19a987c9d0c7b01065c7f584e39721f940606974b
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