Skip to content

merge google/flan based adapters: T5Adapter, CodeT5pAdapter, FlanAdapter #2411

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

Merged
merrymercy merged 9 commits into from
Sep 18, 2023
Merged

merge google/flan based adapters: T5Adapter, CodeT5pAdapter, FlanAdapter #2411

Changes from 1 commit
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
120f58a
merge google/flan based adapters: T5Adapter, CodeT5pAdapter, FlanAdapter
wangzhen263 Sep 13, 2023
ed5bbb6
more specific checking on model name
wangzhen263 Sep 13, 2023
d413f5c
Merge branch 'lm-sys:main' into main
wangzhen263 Sep 13, 2023
9ce4681
fix code style
wangzhen263 Sep 13, 2023
1b0d4c5
Merge branch 'main' of https://github.com/wangzhen263/FastChat into main
wangzhen263 Sep 13, 2023
5881a95
Revert "fix code style"
wangzhen263 Sep 13, 2023
a3e2533
fix code style
wangzhen263 Sep 13, 2023
3cf629b
Update fastchat/model/model_adapter.py
wangzhen263 Sep 18, 2023
a7a4bc0
reformat model_adapter.py for the new commit
wangzhen263 Sep 18, 2023
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
Prev Previous commit
Next Next commit
Update fastchat/model/model_adapter.py 
Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com>
  • Loading branch information
@wangzhen263 @merrymercy
wangzhen263 and merrymercy authored Sep 18, 2023
commit 3cf629bd0668afb440c542932be1418e7745b889
2 changes: 1 addition & 1 deletion fastchat/model/model_adapter.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -620,7 +620,7 @@ class GoogleFlanAdapter(BaseModelAdapter):

def match(self, model_path: str):
return any(
model_path in model_str for model_str in ["flan-", "fastchat-t5", "codet5p"]
model_str in model_path.lower() for model_str in ["flan-", "fastchat-t5", "codet5p"]
)

def load_model(self, model_path: str, from_pretrained_kwargs: dict):
Expand Down