transformers
e54a1b49 - `model.tie_weights()` should be applied after `accelerator.prepare()` (#18676)

Commit

3 years ago

`model.tie_weights()` should be applied after `accelerator.prepare()` (#18676) * `model.tie_weights()` should be applied after `accelerator.prepare` Weight tying should be done after the model has been moved to XLA device as mentioned on PyTorch/XLA Troubleshooting guide [here](https://github.com/pytorch/xla/blob/master/TROUBLESHOOTING.md#xla-tensor-quirks) * format code

References

#18676 - `model.tie_weights()` should be applied after `accelerator.prepare()`

#19449 - [WIP] Fix weights initialization of several vision models

#27720 - Add common processor tests

#29969 - [SigLIP] Add fast tokenizer

#32831 - [Docs] Update resources

#33111 - [Backbone] Remove out_features everywhere

#33174 - [Zero-shot image classification pipeline] Remove tokenizer_kwargs

#39821 - Support MetaCLIP 2

#58 - Add EoMT DINOv3 model

#59 - Fix attention mask handling in EoMT-DINOv3 converter

#41212 - Add EoMT with DINOv3 backbone