Instructions to use levikvasko/bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use levikvasko/bg with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("levikvasko/bg", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from levikvasko/bg: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/levikvasko/bg/resolve/main/README.md
- Command line
-
hf download hf://levikvasko/bg/README.md
-
curl -L -o README.md https://huggingface.co/levikvasko/bg/resolve/main/README.md
280 Bytes
metadata
license: bigcode-openrail-m
datasets:
- neuralwork/arxiver
- nvidia/HelpSteer2
base_model:
- Qwen/Qwen2.5-Coder-32B-Instruct
new_version: Qwen/Qwen2.5-Coder-32B-Instruct
library_name: adapter-transformers
metrics:
- accuracy
- code_eval
tags:
- code
pipeline_tag: graph-ml