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/jinja2/defaults.py from kunaliitkgp09/multi-model-orchestrator: direct link, hf CLI and curl.
- Browser
- Download file 1.27 kB
-
https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/jinja2/defaults.py
- Command line
-
hf download hf://kunaliitkgp09/multi-model-orchestrator/multi_model_env/lib/python3.13/site-packages/jinja2/defaults.py
-
curl -L -o defaults.py https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/jinja2/defaults.py
1.27 kB
| import typing as t | |
| from .filters import FILTERS as DEFAULT_FILTERS # noqa: F401 | |
| from .tests import TESTS as DEFAULT_TESTS # noqa: F401 | |
| from .utils import Cycler | |
| from .utils import generate_lorem_ipsum | |
| from .utils import Joiner | |
| from .utils import Namespace | |
| if t.TYPE_CHECKING: | |
| import typing_extensions as te | |
| # defaults for the parser / lexer | |
| BLOCK_START_STRING = "{%" | |
| BLOCK_END_STRING = "%}" | |
| VARIABLE_START_STRING = "{{" | |
| VARIABLE_END_STRING = "}}" | |
| COMMENT_START_STRING = "{#" | |
| COMMENT_END_STRING = "#}" | |
| LINE_STATEMENT_PREFIX: t.Optional[str] = None | |
| LINE_COMMENT_PREFIX: t.Optional[str] = None | |
| TRIM_BLOCKS = False | |
| LSTRIP_BLOCKS = False | |
| NEWLINE_SEQUENCE: "te.Literal['\\n', '\\r\\n', '\\r']" = "\n" | |
| KEEP_TRAILING_NEWLINE = False | |
| # default filters, tests and namespace | |
| DEFAULT_NAMESPACE = { | |
| "range": range, | |
| "dict": dict, | |
| "lipsum": generate_lorem_ipsum, | |
| "cycler": Cycler, | |
| "joiner": Joiner, | |
| "namespace": Namespace, | |
| } | |
| # default policies | |
| DEFAULT_POLICIES: t.Dict[str, t.Any] = { | |
| "compiler.ascii_str": True, | |
| "urlize.rel": "noopener", | |
| "urlize.target": None, | |
| "urlize.extra_schemes": None, | |
| "truncate.leeway": 5, | |
| "json.dumps_function": None, | |
| "json.dumps_kwargs": {"sort_keys": True}, | |
| "ext.i18n.trimmed": False, | |
| } | |