Instructions to use dl1wjd2/Logistics_AX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dl1wjd2/Logistics_AX with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("dl1wjd2/Logistics_AX", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download hug/lib/python3.12/site-packages/functorch/__init__.py from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 1.04 kB
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/functorch/__init__.py
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/functorch/__init__.py
-
curl -L -o __init__.py https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/functorch/__init__.py
1.04 kB
| # Copyright (c) Facebook, Inc. and its affiliates. | |
| # All rights reserved. | |
| # | |
| # This source code is licensed under the BSD-style license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| import torch | |
| from torch._functorch.deprecated import ( | |
| combine_state_for_ensemble, | |
| functionalize, | |
| grad, | |
| grad_and_value, | |
| hessian, | |
| jacfwd, | |
| jacrev, | |
| jvp, | |
| make_functional, | |
| make_functional_with_buffers, | |
| vjp, | |
| vmap, | |
| ) | |
| # utilities. Maybe these should go in their own namespace in the future? | |
| from torch._functorch.make_functional import ( | |
| FunctionalModule, | |
| FunctionalModuleWithBuffers, | |
| ) | |
| # Was never documented | |
| from torch._functorch.python_key import make_fx | |
| # Top-level APIs. Please think carefully before adding something to the | |
| # top-level namespace: | |
| # - private helper functions should go into torch._functorch | |
| # - very experimental things should go into functorch.experimental | |
| # - compilation related things should go into functorch.compile | |
| __version__ = torch.__version__ | |