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Support for Models stored in GCS bucket #3966
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would like to assign myself to this issue. #take #self-assign |
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Is your feature request related to a problem? Please describe.
More often than not in organizations developers don't have access to download models directly from huggingface. It's ususally located in a cloud storage. Would like to add a feature that can directly take gcs link as input inside config.yaml and continue with training the model.
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Describe the solution you'd like
config yaml file will take gcs link as input just like it takes a local storage location of the model. It will load the model into a temporary storage and continue with regular fine-tuning or serving etc..
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A clear and concise description of any alternative solutions or features you've considered.
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