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/packages.py from kunaliitkgp09/multi-model-orchestrator: direct link, hf CLI and curl.
- Browser
- Download file 904 Bytes
-
https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/requests/packages.py
- Command line
-
hf download hf://kunaliitkgp09/multi-model-orchestrator/multi_model_env/lib/python3.13/site-packages/requests/packages.py
-
curl -L -o packages.py https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/requests/packages.py
904 Bytes
| import sys | |
| from .compat import chardet | |
| # This code exists for backwards compatibility reasons. | |
| # I don't like it either. Just look the other way. :) | |
| for package in ("urllib3", "idna"): | |
| locals()[package] = __import__(package) | |
| # This traversal is apparently necessary such that the identities are | |
| # preserved (requests.packages.urllib3.* is urllib3.*) | |
| for mod in list(sys.modules): | |
| if mod == package or mod.startswith(f"{package}."): | |
| sys.modules[f"requests.packages.{mod}"] = sys.modules[mod] | |
| if chardet is not None: | |
| target = chardet.__name__ | |
| for mod in list(sys.modules): | |
| if mod == target or mod.startswith(f"{target}."): | |
| imported_mod = sys.modules[mod] | |
| sys.modules[f"requests.packages.{mod}"] = imported_mod | |
| mod = mod.replace(target, "chardet") | |
| sys.modules[f"requests.packages.{mod}"] = imported_mod | |