Skip to content

Skip pipeline.task check for diffusers and sentence-transformers #101

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
merged 3 commits into from
Dec 16, 2024
Merged

Skip pipeline.task check for diffusers and sentence-transformers #101

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
7eba007
Skip `task` for `diffusers` and `sentence-transformers` in `HuggingFa…
alvarobartt Dec 16, 2024
111b900
Remove unused `SENTENCE_TRANSFORMERS_TASKS` import
alvarobartt Dec 16, 2024
8b7321a
Fix `HuggingFaceHandler` for `diffusers` and `sentence-transformers`
alvarobartt Dec 16, 2024
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
16 changes: 13 additions & 3 deletions src/huggingface_inference_toolkit/handler.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,9 +36,19 @@ def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
inputs = data.pop("inputs", data)
parameters = data.pop("parameters", {})

# sentence transformers pipelines do not have the `task` arg
if any(isinstance(self.pipeline, v) for v in SENTENCE_TRANSFORMERS_TASKS.values()):
return self.pipeline(**inputs) if isinstance(inputs, dict) else self.pipeline(inputs) # type: ignore
# diffusers and sentence transformers pipelines do not have the `task` arg
if not hasattr(self.pipeline, "task"):
# sentence transformers paramters not supported yet
if any(isinstance(self.pipeline, v) for v in SENTENCE_TRANSFORMERS_TASKS.values()):
return ( # type: ignore
self.pipeline(**inputs) if isinstance(inputs, dict) else self.pipeline(inputs)
)
# diffusers does support kwargs
return ( # type: ignore
self.pipeline(**inputs, **parameters)
if isinstance(inputs, dict)
else self.pipeline(inputs, **parameters)
)

if self.pipeline.task == "question-answering":
if not isinstance(inputs, dict):
Expand Down
Loading