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: 751 Bytes
b4740c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | from typing import overload
__all__ = [
"ComplexWarning",
"VisibleDeprecationWarning",
"ModuleDeprecationWarning",
"TooHardError",
"AxisError",
"DTypePromotionError",
]
class ComplexWarning(RuntimeWarning): ...
class ModuleDeprecationWarning(DeprecationWarning): ...
class VisibleDeprecationWarning(UserWarning): ...
class RankWarning(RuntimeWarning): ...
class TooHardError(RuntimeError): ...
class DTypePromotionError(TypeError): ...
class AxisError(ValueError, IndexError):
axis: int | None
ndim: int | None
@overload
def __init__(self, axis: str, ndim: None = ..., msg_prefix: None = ...) -> None: ...
@overload
def __init__(self, axis: int, ndim: int, msg_prefix: str | None = ...) -> None: ...
|