dot-concatenate_qkv_weights: Concatenate Attention Weights
In macmillancontentscience/torchtransformers: Transformer Models in Torch
.concatenate_qkv_weights R Documentation
Concatenate Attention Weights
Description
Concatenate weights to format attention parameters appropriately for loading
into BERT models. The torch attention module puts the weight/bias values for
the q,k,v tensors into a single tensor, rather than three separate ones. We
do the concatenation so that we can load into our models.
Usage
.concatenate_qkv_weights(state_dict)
Arguments
state_dict
A state_dict of pretrained weights, probably loaded from a
file.
Value
The state_dict with query, key, value weights concatenated.
macmillancontentscience/torchtransformers documentation built on Aug. 6, 2023, 5:35 a.m.
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| .concatenate_qkv_weights | R Documentation |
Concatenate Attention Weights
Description
Concatenate weights to format attention parameters appropriately for loading into BERT models. The torch attention module puts the weight/bias values for the q,k,v tensors into a single tensor, rather than three separate ones. We do the concatenation so that we can load into our models.
Usage
.concatenate_qkv_weights(state_dict)
Arguments
state_dict |
A state_dict of pretrained weights, probably loaded from a file. |
Value
The state_dict with query, key, value weights concatenated.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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