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
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https://huggingface.co/levikvasko/bg/resolve/main/README.md
- Command line
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hf download hf://levikvasko/bg/README.md
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curl -L -o README.md https://huggingface.co/levikvasko/bg/resolve/main/README.md
280 Bytes
| 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 | |