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One should be able to start a training with an already trained model #2

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kleag opened this issue Sep 8, 2021 · 0 comments
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enhancement New feature or request good first issue Good for newcomers

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kleag commented Sep 8, 2021

Currently, the model is always trained from scratch. One should be able to continue the training of a model already trained from another corpus. We already have the necessary load function in tfner/base_model.py:

        """Reload weights into session
@kleag kleag added enhancement New feature or request good first issue Good for newcomers labels Sep 8, 2021
@kleag kleag self-assigned this Sep 8, 2021
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enhancement New feature or request good first issue Good for newcomers
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