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
Download multi_model_env/lib/python3.13/site-packages/filelock/version.py from kunaliitkgp09/multi-model-orchestrator: direct link, hf CLI and curl.
- Browser
- Download file 513 Bytes
-
https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/filelock/version.py
- Command line
-
hf download hf://kunaliitkgp09/multi-model-orchestrator/multi_model_env/lib/python3.13/site-packages/filelock/version.py
-
curl -L -o version.py https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/filelock/version.py
513 Bytes
| # 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) | |