DonutWeightLoader class
Loads pretrained weights into a Donut model.
Supports loading from a directory with safetensors files or from an in-memory weight map.
Weight name mapping follows the HuggingFace Donut naming convention:
Encoder weights:
encoder.model.patch_embed.proj.weight→ PatchEmbed.projencoder.model.layers.{i}.blocks.{j}.attn.*→ WindowAttentionencoder.model.layers.{i}.downsample.*→ PatchMerging
Decoder weights:
decoder.model.decoder.embed_tokens.weight→ token embeddingsdecoder.model.decoder.embed_positions.weight→ position embeddingsdecoder.model.decoder.layers.{i}.*→ decoder layersdecoder.model.lm_head.weight→ output projection
Constructors
- DonutWeightLoader({required SwinEncoder encoder, required BartDecoder decoder})
Properties
- decoder → BartDecoder
-
final
- encoder → SwinEncoder
-
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
loadFromDirectory(
String directory) → Future< void> - Load weights from a directory.
-
loadFromMap(
Map< String, Tensor> weights) → void - Load weights from an in-memory map.
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited