feat(runner): add transformers pipeline logic #367
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rickstaa
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This commit adds the initial transformers pipeline which makes use of the pipeline abstraction of the transformers package to call any huggingface transformers pipeline.
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rickstaa
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Dec 13, 2024
| if request.model_name: | ||
| pipeline_kwargs["model"] = request.model_name | ||
| try: | ||
| pipe = pipeline(device=torch_device, **pipeline_kwargs) |
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I'm haven't checked whether models are removed from the GPU afterward.
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@rickstaa I think either we can perform cache cleaning with empty_cache() or use pipeline in context manager: with pipeline(...)
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This pull request adds the initial transformers pipeline which makes use of the pipeline abstraction of the transformers package to call any huggingface transformers pipeline.
Warning
Do not merge this version is not safe to run on the orchestrator network since it exposes a lot and doesn't clean disk space.