Instructions to use OpCustom/OpAI1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use OpCustom/OpAI1.1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("OpCustom/OpAI1.1", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from OpCustom/OpAI1.1: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
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https://huggingface.co/OpCustom/OpAI1.1/resolve/main/README.md
- Command line
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hf download hf://OpCustom/OpAI1.1/README.md
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curl -L -o README.md https://huggingface.co/OpCustom/OpAI1.1/resolve/main/README.md
214 Bytes
| license: llama3.2 | |
| datasets: | |
| - nvidia/Llama-Nemotron-Post-Training-Dataset | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - manycore-research/SpatialLM-Llama-1B | |
| new_version: sesame/csm-1b | |
| library_name: adapter-transformers | |