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Currently, we load pytorch weights and convert them to JAX tensors during inference; however, it would be ideal if, after the first run, we serialise the next weights to avoid redundant conversions in each run.
The text was updated successfully, but these errors were encountered:
Currently, we load pytorch weights and convert them to JAX tensors during inference; however, it would be ideal if, after the first run, we serialise the next weights to avoid redundant conversions in each run.
The text was updated successfully, but these errors were encountered: