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/requests/compat.py from kunaliitkgp09/multi-model-orchestrator: direct link, hf CLI and curl.
- Browser
- Download file 2.14 kB
-
https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/requests/compat.py
- Command line
-
hf download hf://kunaliitkgp09/multi-model-orchestrator/multi_model_env/lib/python3.13/site-packages/requests/compat.py
-
curl -L -o compat.py https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/requests/compat.py
2.14 kB
| """ | |
| requests.compat | |
| ~~~~~~~~~~~~~~~ | |
| This module previously handled import compatibility issues | |
| between Python 2 and Python 3. It remains for backwards | |
| compatibility until the next major version. | |
| """ | |
| import importlib | |
| import sys | |
| # ------- | |
| # urllib3 | |
| # ------- | |
| from urllib3 import __version__ as urllib3_version | |
| # Detect which major version of urllib3 is being used. | |
| try: | |
| is_urllib3_1 = int(urllib3_version.split(".")[0]) == 1 | |
| except (TypeError, AttributeError): | |
| # If we can't discern a version, prefer old functionality. | |
| is_urllib3_1 = True | |
| # ------------------- | |
| # Character Detection | |
| # ------------------- | |
| def _resolve_char_detection(): | |
| """Find supported character detection libraries.""" | |
| chardet = None | |
| for lib in ("chardet", "charset_normalizer"): | |
| if chardet is None: | |
| try: | |
| chardet = importlib.import_module(lib) | |
| except ImportError: | |
| pass | |
| return chardet | |
| chardet = _resolve_char_detection() | |
| # ------- | |
| # Pythons | |
| # ------- | |
| # Syntax sugar. | |
| _ver = sys.version_info | |
| #: Python 2.x? | |
| is_py2 = _ver[0] == 2 | |
| #: Python 3.x? | |
| is_py3 = _ver[0] == 3 | |
| # json/simplejson module import resolution | |
| has_simplejson = False | |
| try: | |
| import simplejson as json | |
| has_simplejson = True | |
| except ImportError: | |
| import json | |
| if has_simplejson: | |
| from simplejson import JSONDecodeError | |
| else: | |
| from json import JSONDecodeError | |
| # Keep OrderedDict for backwards compatibility. | |
| from collections import OrderedDict | |
| from collections.abc import Callable, Mapping, MutableMapping | |
| from http import cookiejar as cookielib | |
| from http.cookies import Morsel | |
| from io import StringIO | |
| # -------------- | |
| # Legacy Imports | |
| # -------------- | |
| from urllib.parse import ( | |
| quote, | |
| quote_plus, | |
| unquote, | |
| unquote_plus, | |
| urldefrag, | |
| urlencode, | |
| urljoin, | |
| urlparse, | |
| urlsplit, | |
| urlunparse, | |
| ) | |
| from urllib.request import ( | |
| getproxies, | |
| getproxies_environment, | |
| parse_http_list, | |
| proxy_bypass, | |
| proxy_bypass_environment, | |
| ) | |
| builtin_str = str | |
| str = str | |
| bytes = bytes | |
| basestring = (str, bytes) | |
| numeric_types = (int, float) | |
| integer_types = (int,) | |