Instructions to use k1h0/codellama-7b-lora-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use k1h0/codellama-7b-lora-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-lora-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c4aa20d893069782df721250adbcf9b7fb79d197639c5fa1bd0486ea2f59425
- Size of remote file:
- 51.3 kB
- SHA256:
- ae88c0f36857793c891a6f2abf22448970f04b07298c156646a0717147b40294
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