Instructions to use buelfhood/SOCO_Adapter_Java_LoRA_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use buelfhood/SOCO_Adapter_Java_LoRA_0 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("huggingface/CodeBERTa-small-v1") model.load_adapter("buelfhood/SOCO_Adapter_Java_LoRA_0", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from buelfhood/SOCO_Adapter_Java_LoRA_0: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/buelfhood/SOCO_Adapter_Java_LoRA_0/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://buelfhood/SOCO_Adapter_Java_LoRA_0/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/buelfhood/SOCO_Adapter_Java_LoRA_0/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 667c01081ea2afb454cb889fa83045654c8dbc4c0c8c8a4f1cfe9e38966713e4
- Size of remote file:
- 2.37 MB
- SHA256:
- 8bb3e5522ff88ca3d8c4bca50341d33240a72ad435e73bb5a97769ceced508c3
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