Instructions to use cloudqi/CQI_Visual_Question_Awnser_PT_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use cloudqi/CQI_Visual_Question_Awnser_PT_v0 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("cloudqi/CQI_Visual_Question_Awnser_PT_v0", set_active=True) - Notebooks
- Google Colab
- Kaggle
| [isort] | |
| default_section = FIRSTPARTY | |
| ensure_newline_before_comments = True | |
| force_grid_wrap = 0 | |
| include_trailing_comma = True | |
| known_first_party = transformers | |
| line_length = 119 | |
| lines_after_imports = 2 | |
| multi_line_output = 3 | |
| use_parentheses = True | |
| [flake8] | |
| ignore = E203, E501, E741, W503, W605 | |
| max-line-length = 119 | |
| [tool:pytest] | |
| doctest_optionflags=NUMBER NORMALIZE_WHITESPACE ELLIPSIS | |