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
-
https://huggingface.co/DDBMST3W/OLE_ENG/resolve/main/README.md
- Command line
-
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
metadata
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)