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("fill-in-model-name") model.load_adapter("cloudqi/CQI_Visual_Question_Awnser_PT_v0", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 388 Bytes
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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
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