Instructions to use buelfhood/SOCO_Adapter_Java_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use buelfhood/SOCO_Adapter_Java_LoRA with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("huggingface/CodeBERTa-small-v1") model.load_adapter("buelfhood/SOCO_Adapter_Java_LoRA", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_adapter.bin from buelfhood/SOCO_Adapter_Java_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 599 kB
-
https://huggingface.co/buelfhood/SOCO_Adapter_Java_LoRA/resolve/main/pytorch_adapter.bin
- Command line
-
hf download hf://buelfhood/SOCO_Adapter_Java_LoRA/pytorch_adapter.bin
-
curl -L -o pytorch_adapter.bin https://huggingface.co/buelfhood/SOCO_Adapter_Java_LoRA/resolve/main/pytorch_adapter.bin
599 kB
- Xet hash:
- 2d4f25ad97855de22b33c70018963984dc8dac6860b3e269c4044dc435b1e196
- Size of remote file:
- 599 kB
- SHA256:
- 0a570cbc260a5ac57e9d13ab0d159ae44afeb8bd6e9fc37a053662fd10cb710d
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