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: 568 Bytes
b4740c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | try:
# Ensure a DistutilsError raised by these methods is the same as distutils.errors.DistutilsError
from distutils._modified import (
newer,
newer_group,
newer_pairwise,
newer_pairwise_group,
)
except ImportError:
# fallback for SETUPTOOLS_USE_DISTUTILS=stdlib, because _modified never existed in stdlib
from ._distutils._modified import (
newer,
newer_group,
newer_pairwise,
newer_pairwise_group,
)
__all__ = ['newer', 'newer_pairwise', 'newer_group', 'newer_pairwise_group']
|