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:
- a5c0b62193585a642d51e624c357a6b52c34454f6f39e7f28194a729145e4052
- Size of remote file:
- 5.5 kB
- SHA256:
- eec85c74298f56f2e035eda0ec39e7dd69732c19e4f2327dc276873c1d5ae7b9
路
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