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 rng_state.pth with huggingface_hub
Browse files- rng_state.pth +3 -0
rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9cd76119dd69f6b14eafa0ad48d2e70e212ed7f83c6c34f3be22452f3c7cc8d
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size 14244
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