TokenAndPositionEmbedding missing from keras_nlp.layers

[DynTechieBibin]

ImportError: cannot import name 'TokenAndPositionEmbedding' from 'keras_nlp.layers'

Packages installed (Windows OS)

tensorflow Version: 2.17.0

keras Version: 3.5.0

keras-nlp Version: 0.0.2

Code:

from keras_nlp.layers import TokenAndPositionEmbedding, TransformerEncoder, TransformerDecoder

decoder_embedding = TokenAndPositionEmbedding(len(target_tokenizer.word_index) + 1, sequence_len, embed_dim)(decoder_input)

Tried:

pip install keras-nlp==0.15.1
Collecting keras-nlp==0.15.1

Using cached keras_nlp-0.15.1-py3-none-any.whl.metadata (6.7 kB)

Requirement already satisfied: absl-py in \python\python312\lib\site-packages (from keras-nlp==0.15.1) (2.1.0)

Requirement already satisfied: numpy in \python\python312\lib\site-packages (from keras-nlp==0.15.1) (1.26.4)

Requirement already satisfied: packaging in \python\python312\lib\site-packages (from keras-nlp==0.15.1) (24.1)

Requirement already satisfied: regex in \python\python312\lib\site-packages (from keras-nlp==0.15.1) (2024.9.11)

Requirement already satisfied: rich in \python\python312\lib\site-packages (from keras-nlp==0.15.1) (13.8.1)

Collecting kagglehub (from keras-nlp==0.15.1)
Using cached kagglehub-0.3.0-py3-none-any.whl.metadata (21 kB)

INFO: pip is looking at multiple versions of keras-nlp to determine which version is compatible with other requirements. This could take a while.

ERROR: Could not find a version that satisfies the requirement tensorflow-text; platform_system != "Darwin" (from keras-nlp) (from versions: none)

ERROR: No matching distribution found for tensorflow-text; platform_system != "Darwin"

[SamanehSaadat]

Hi @DynTechieBibin

We recently merged KerasCV and KerasNLP into KerasHub. Could you try importing it from keras_hub.layers? I believe it should work (code ref).

[github-actions]

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