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_model_head.bin from buelfhood/SOCO_Adapter_Java_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/buelfhood/SOCO_Adapter_Java_LoRA/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://buelfhood/SOCO_Adapter_Java_LoRA/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/buelfhood/SOCO_Adapter_Java_LoRA/resolve/main/pytorch_model_head.bin
2.37 MB
- Xet hash:
- 800467991a0412ab796daf5ca28c606be718e4d2d0e31ff44ec04d3f89ee2dc1
- Size of remote file:
- 2.37 MB
- SHA256:
- d990ca41d71c872e40f2305ad71e4bbbf5915a01ecd3ba36b6ff8a8d5e64d66f
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