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/numpy/version.pyi from kunaliitkgp09/multi-model-orchestrator: direct link, hf CLI and curl.
- Browser
- Download file 358 Bytes
-
https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/numpy/version.pyi
- Command line
-
hf download hf://kunaliitkgp09/multi-model-orchestrator/multi_model_env/lib/python3.13/site-packages/numpy/version.pyi
-
curl -L -o version.pyi https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/numpy/version.pyi
358 Bytes
| from typing import Final, LiteralString | |
| __all__ = ( | |
| '__version__', | |
| 'full_version', | |
| 'git_revision', | |
| 'release', | |
| 'short_version', | |
| 'version', | |
| ) | |
| version: Final[LiteralString] | |
| __version__: Final[LiteralString] | |
| full_version: Final[LiteralString] | |
| git_revision: Final[LiteralString] | |
| release: Final[bool] | |
| short_version: Final[LiteralString] | |