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weight_initialization
ai-agents-weight-initializatio-when-loading-a-pretrained-model-with-missing-weigh-5b932e89
IFWhen loading a pretrained model with missing weights using `from_pretrained()`, the missing weights are not initialized according to the model's `post_init()` method, resulting in uninitialized (NaN) values.
THENApply the workaround by passing `_fast_init=False` to `from_pretrained()` to force proper initialization of missing weights. Alternatively, upgrade to a version that includes the fix from PR #35913, which ensures `post_init()` is called appropriately. If the workaround is used, note that `_fast_init` is deprecated and may be removed.
Tier 170%
weight_initialization
ai-agents-weight-initializatio-missing-weights-in-a-pretrained-model-loaded-via-f-4594dab4
IFMissing weights in a pretrained model loaded via from_pretrained are not initialized using the model's custom post_init method.
THENWhen adding new layers not present in the checkpoint, either pass `_fast_init=False` to `from_pretrained` (deprecated but works) or manually re-initialize the missing weights after loading by calling the model's initialization function. Alternatively, ensure that any custom initialization logic is applied to new parameters separately after loading.
Tier 170%
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