Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

docs: Fix broken link in 'How to add a model...' #23216

Merged
merged 1 commit into from
May 8, 2023
Merged

docs: Fix broken link in 'How to add a model...' #23216

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/source/en/add_new_model.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -678,7 +678,7 @@ model.save_pretrained("/path/to/converted/checkpoint/folder")
**7. Implement the forward pass**

Having managed to correctly load the pretrained weights into the 🤗 Transformers implementation, you should now make
sure that the forward pass is correctly implemented. In [Get familiar with the original repository](#run-a-pretrained-checkpoint-using-the-original-repository), you have already created a script that runs a forward
sure that the forward pass is correctly implemented. In [Get familiar with the original repository](#34-run-a-pretrained-checkpoint-using-the-original-repository), you have already created a script that runs a forward
pass of the model using the original repository. Now you should write an analogous script using the 🤗 Transformers
implementation instead of the original one. It should look as follows:

Expand Down
2 changes: 1 addition & 1 deletion templates/adding_a_new_model/ADD_NEW_MODEL_PROPOSAL_TEMPLATE.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -848,7 +848,7 @@ model.save_pretrained("/path/to/converted/checkpoint/folder")
Having managed to correctly load the pretrained weights into the 🤗
Transformers implementation, you should now make sure that the forward
pass is correctly implemented. In [Get familiar with the original
repository](#run-a-pretrained-checkpoint-using-the-original-repository),
repository](#34-run-a-pretrained-checkpoint-using-the-original-repository),
you have already created a script that runs a forward pass of the model
using the original repository. Now you should write an analogous script
using the 🤗 Transformers implementation instead of the original one. It
Expand Down
Loading