ggml_embedding: Create an Embedding Layer Object
In ggmlR: 'GGML' Tensor Operations for Machine Learning
View source: R/nn_functional.R
ggml_embedding R Documentation
Create an Embedding Layer Object
Description
Create an Embedding Layer Object
Usage
ggml_embedding(vocab_size, dim, name = NULL, trainable = TRUE)
Arguments
vocab_size
Number of distinct tokens.
dim
Embedding dimension.
name
Optional character name.
trainable
Logical.
Value
A ggml_layer object.
ggmlR documentation built on July 14, 2026, 1:08 a.m.
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View source: R/nn_functional.R
| ggml_embedding | R Documentation |
Create an Embedding Layer Object
Description
Create an Embedding Layer Object
Usage
ggml_embedding(vocab_size, dim, name = NULL, trainable = TRUE)
Arguments
vocab_size |
Number of distinct tokens. |
dim |
Embedding dimension. |
name |
Optional character name. |
trainable |
Logical. |
Value
A ggml_layer object.
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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