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I'm not aware of any such implementation. What would be the advantage? I prefer using the CLIP code to Huggingface Transformers since the latter comes with several dependencies. However, implementing it should be straightforward by replacing the CLIP initialization here: https://github.com/timojl/clipseg/blob/master/models/clipseg.py#L86
@NielsRogge
Great, I had implemented a version that supported de HFs models, but it's good to see an official implementation.
Will there be a training script with the transformers framework?
Is there an implementation that uses the clip model from the transformers lib? If not how hard would it be to implement?
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