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
File size: 375 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # 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)
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