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:
- 9a282dfaa83039d5786d2d0e996bffac71cb85d1b55194a80290fd3ba8341789
- Size of remote file:
- 1.06 kB
- SHA256:
- e9ce874284280427d4ffebafa43b6005f657a729ffcdeca7e26ebdddac43e30a
路
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