Upstream bug in `transformers` breaks use of `AutoModelForMaskGeneration` class to load SAM models
Simple fix - directly load the model with `SamModel` class instead.
See upstream issue https://github.com/huggingface/transformers/issues/38228
## Summary
- Fallback to new classification API if legacy probe fails
- Method to read model metadata
- Created `StrippedModelOnDisk` class for testing
- Test to verify only a single config `matches` with a model
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## Checklist
- [ ] _The PR has a short but descriptive title, suitable for a
changelog_
- [ ] _Tests added / updated (if applicable)_
- [ ] _Documentation added / updated (if applicable)_
- [ ] _Updated `What's New` copy (if doing a release after this PR)_
For example:
```py
my_field: Literal["foo", "bar"] | None = InputField(default=None)
```
Previously, this would cause a field parsing error and prevent the app from loading.
Two fixes:
- This type annotation and resultant schema are now parsed correctly
- Error handling added to template building logic to prevent the hang at startup when an error does occur
Major cleanup of RelatedModels.tsx for improved readability, structure, and maintainability.
Dried out repetitive logic
Consolidated model type sorting into reusable helpers
Added disallowed model type relationships to prevent broken connections (e.g. VAE ↔ LoRA)
- Aware this introduces a new constraint—open to feedback (see PR comment)
Some naming and types may still need refinement; happy to revisit
