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
File size: 353 Bytes
a73db62 9a90c9e 3c2b70c 7efdc49 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ---
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) |