Instructions to use Shreshth13/graphcodebert-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shreshth13/graphcodebert-lora with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("microsoft/graphcodebert-base") model = PeftModel.from_pretrained(base_model, "Shreshth13/graphcodebert-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Shreshth13/graphcodebert-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.78 MB
-
https://huggingface.co/Shreshth13/graphcodebert-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Shreshth13/graphcodebert-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Shreshth13/graphcodebert-lora/resolve/main/adapter_model.safetensors
1.78 MB
- Xet hash:
- 89815f51bdf5967745a61e760893b36bb0188fa113c89022ff8d23db11bed591
- Size of remote file:
- 1.78 MB
- SHA256:
- 9be9436a568f29a3730beba3119283be8646b037774c1402c78b331d3a3ef1f0
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