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
Upload training_args.bin with huggingface_hub
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:eec85c74298f56f2e035eda0ec39e7dd69732c19e4f2327dc276873c1d5ae7b9
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size 5496
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