Instructions to use DDBMST3W/OLE_ENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use DDBMST3W/OLE_ENG with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("DDBMST3W/OLE_ENG", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from DDBMST3W/OLE_ENG: direct link, hf CLI and curl.
- Browser
- Download file 353 Bytes
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https://huggingface.co/DDBMST3W/OLE_ENG/resolve/main/README.md
- Command line
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hf download hf://DDBMST3W/OLE_ENG/README.md
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curl -L -o README.md https://huggingface.co/DDBMST3W/OLE_ENG/resolve/main/README.md
353 Bytes
| license: mit | |
| datasets: | |
| - DDBMST3W/OLE_ENG | |
| language: | |
| - en | |
| base_model: | |
| - meta-llama/Llama-3.3-70B-Instruct | |
| - Qwen/QVQ-72B-Preview | |
| pipeline_tag: question-answering | |
| library_name: adapter-transformers | |
| from adapters import AutoAdapterModel | |
| model = AutoAdapterModel.from_pretrained("undefined") | |
| model.load_adapter("DDBMST3W/OLE_ENG", set_active=True) |