Instructions to use vdpappu/lora_coding_assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdpappu/lora_coding_assistant with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "vdpappu/lora_coding_assistant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd70422f577c9aa4d53706c664b875810eb84dedd2e346d1a616ce88f1a8ce27
- Size of remote file:
- 7.43 MB
- SHA256:
- da9636208e6fcd1a653e38adf04a1f2ad06f4fbd5e9f3888c9972cd4afae104b
路
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