Text-to-Image
Transformers
PyTorch
English
multi-model-orchestrator
ai
machine-learning
multimodal
image-captioning
orchestration
Instructions to use kunaliitkgp09/multi-model-orchestrator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kunaliitkgp09/multi-model-orchestrator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kunaliitkgp09/multi-model-orchestrator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 513 Bytes
b4740c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | # file generated by setuptools-scm
# don't change, don't track in version control
__all__ = ["__version__", "__version_tuple__", "version", "version_tuple"]
TYPE_CHECKING = False
if TYPE_CHECKING:
from typing import Tuple
from typing import Union
VERSION_TUPLE = Tuple[Union[int, str], ...]
else:
VERSION_TUPLE = object
version: str
__version__: str
__version_tuple__: VERSION_TUPLE
version_tuple: VERSION_TUPLE
__version__ = version = '3.18.0'
__version_tuple__ = version_tuple = (3, 18, 0)
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