Instructions to use XNIBXL/MODEL2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use XNIBXL/MODEL2 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("XNIBXL/MODEL2", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from XNIBXL/MODEL2: direct link, hf CLI and curl.
- Browser
- Download file 188 Bytes
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https://huggingface.co/XNIBXL/MODEL2/resolve/main/README.md
- Command line
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hf download hf://XNIBXL/MODEL2/README.md
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curl -L -o README.md https://huggingface.co/XNIBXL/MODEL2/resolve/main/README.md
188 Bytes
| license: apache-2.0 | |
| datasets: | |
| - nvidia/OpenCodeReasoning | |
| metrics: | |
| - bleu | |
| base_model: | |
| - Qwen/Qwen2.5-Omni-7B | |
| pipeline_tag: image-to-3d | |
| library_name: adapter-transformers | |
| tags: | |
| - art | |