Instructions to use drmcbride/code-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use drmcbride/code-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "drmcbride/code-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f6f7e1b97d8c215366f78743b8738a9792f8b63bf50f6689d77e49b1ab98960
- Size of remote file:
- 168 MB
- SHA256:
- 935c462e52794290f8907dce329d482c449eac1b258e107a62aa479598070a71
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