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drop TF1 vernacular, relax TF/Keras and Torch requirements…
- do not restrict TF version, but depend on tf-keras and set `TF_USE_LEGACY_KERAS=1` to avoid Keras 3 behaviour - relax Numpy version requirement up to v2 - relax Torch version requirement - drop TF1 session management code - drop TF1 config in favour of TF2 config code for memory growth - training.*: also simplify and limit line length - training.train: always train with TensorBoard callback
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@ -1,2 +1,2 @@
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torch <= 2.0.1
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torch
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transformers <= 4.30.2
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