Instructions to use k1h0/codellama-7b-ia3-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use k1h0/codellama-7b-ia3-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-ia3-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f746722a079818c683d3a6b2fcb0f3f0e098e1aaea8bfb2d2ee8c9cc8be3e87c
- Size of remote file:
- 1.24 MB
- SHA256:
- ce5bbccfefb4ca26bdb54f5883043732320a9b7eceb2005fe0e2a9929e6f6045
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