Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/lib/python3.14/site-packages/functorch/dim/tree_map.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 375 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/functorch/dim/tree_map.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/functorch/dim/tree_map.py
-
curl -L -o tree_map.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/functorch/dim/tree_map.py
375 Bytes
| # 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. | |
| from functorch._C import dim | |
| tree_flatten = dim.tree_flatten | |
| def tree_map(fn, tree): | |
| vs, unflatten = tree_flatten(tree) | |
| return unflatten(fn(v) for v in vs) | |