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First of all, congrats for this very interesting package!
I was reading the docs for how to fine-tune the model from the CLI and I was wondering if someone can fine-tune in the following case.
A model was trained to predict 5 classes but now it must be fine-tuned to predict 10 classes. This means that the final layer must be replaced before we start the fine-tuning. Is it possible to achieve that from the CLI?
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First of all, congrats for this very interesting package!
I was reading the docs for how to fine-tune the model from the CLI and I was wondering if someone can fine-tune in the following case.
A model was trained to predict 5 classes but now it must be fine-tuned to predict 10 classes. This means that the final layer must be replaced before we start the fine-tuning. Is it possible to achieve that from the CLI?
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