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new 20a38d54d7 chore(deps): bump transformers from 4.44.2 to 4.53.0 in
/core/amber (#3635)
20a38d54d7 is described below
commit 20a38d54d71860520cc4dad64d207ffa10f7244d
Author: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
AuthorDate: Mon Oct 6 19:22:41 2025 +0000
chore(deps): bump transformers from 4.44.2 to 4.53.0 in /core/amber (#3635)
Bumps [transformers](https://github.com/huggingface/transformers) from
4.44.2 to 4.53.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/huggingface/transformers/releases";>transformers's
releases</a>.</em></p>
<blockquote>
<h2>Release v4.53.0</h2>
<h3>Gemma3n</h3>
<p>Gemma 3n models are designed for efficient execution on low-resource
devices. They are capable of multimodal input, handling text, image,
video, and audio input, and generating text outputs, with open weights
for pre-trained and instruction-tuned variants. These models were
trained with data in over 140 spoken languages.</p>
<p>Gemma 3n models use selective parameter activation technology to
reduce resource requirements. This technique allows the models to
operate at an effective size of 2B and 4B parameters, which is lower
than the total number of parameters they contain. For more information
on Gemma 3n's efficient parameter management technology, see the <a
href="https://ai.google.dev/gemma/docs/gemma-3n#parameters";>Gemma 3n</a>
page.</p>
<p><img
src="https://github.com/user-attachments/assets/858cb034-364d-4eb6-8de8-4a0b5eaff3d7";
alt="image" /></p>
<pre lang="python"><code>from transformers import pipeline
import torch
<p>pipe = pipeline(
"image-text-to-text",
torch_dtype=torch.bfloat16,
model="google/gemma-3n-e4b",
device="cuda",
)
output = pipe(
"<a
href="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg";>https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg</a>",
text="<image_soft_token> in this image, there is"
)</p>
<p>print(output)
</code></pre></p>
<h3>Dia</h3>
<p><img
src="https://github.com/user-attachments/assets/bf86e887-e4f4-4222-993d-f5eac58f8040";
alt="image" /></p>
<p>Dia is an opensource text-to-speech (TTS) model (1.6B parameters)
developed by <a href="https://huggingface.co/nari-labs";>Nari Labs</a>.
It can generate highly realistic dialogue from transcript including
nonverbal communications such as laughter and coughing.
Furthermore, emotion and tone control is also possible via audio
conditioning (voice cloning).</p>
<p><strong>Model Architecture:</strong>
Dia is an encoder-decoder transformer based on the original transformer
architecture. However, some more modern features such as
rotational positional embeddings (RoPE) are also included. For its text
portion (encoder), a byte tokenizer is utilized while
for the audio portion (decoder), a pretrained codec model <a
href="https://github.com/huggingface/transformers/blob/HEAD/dac.md";>DAC</a>
is used - DAC encodes speech into discrete codebook
tokens and decodes them back into audio.</p>
<ul>
<li>Add Dia model by <a
href="https://github.com/buttercrab";><code>@buttercrab</code></a> in <a
href="https://redirect.github.com/huggingface/transformers/issues/38405";>#38405</a></li>
</ul>
<h3>Kyutai Speech-to-Text</h3>
<!-- raw HTML omitted -->
<p>Kyutai STT is a speech-to-text model architecture based on the <a
href="https://huggingface.co/docs/transformers/en/model_doc/mimi";>Mimi
codec</a>, which encodes audio into discrete tokens in a streaming
fashion, and a <a
href="https://huggingface.co/docs/transformers/en/model_doc/moshi";>Moshi-like</a>
autoregressive decoder. Kyutai’s lab has released two model
checkpoints:</p>
<ul>
<li><a
href="https://huggingface.co/kyutai/stt-1b-en_fr";>kyutai/stt-1b-en_fr</a>:
a 1B-parameter model capable of transcribing both English and
French</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/huggingface/transformers/commit/67ddc82fbc7e52c6f42a395b4a6d278c55b77a39";><code>67ddc82</code></a>
Release: v4.53.0</li>
<li><a
href="https://github.com/huggingface/transformers/commit/0a8081b03d118da9a8c3fa143a03afe54a5c624e";><code>0a8081b</code></a>
[Modeling] Fix encoder CPU offloading for whisper (<a
href="https://redirect.github.com/huggingface/transformers/issues/38994";>#38994</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/c63cfd6a833d629a74c098933017c61dd755969d";><code>c63cfd6</code></a>
Gemma 3n (<a
href="https://redirect.github.com/huggingface/transformers/issues/39059";>#39059</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/3e5cc1285503bbdb6a0a3e173b5ae90566862215";><code>3e5cc12</code></a>
[tests] remove tests from libraries with deprecated support (flax,
tensorflow...</li>
<li><a
href="https://github.com/huggingface/transformers/commit/cfff7ca9a27280338c6a57dfa7722dcf44f51a87";><code>cfff7ca</code></a>
[Whisper] Pipeline: handle long form generation (<a
href="https://redirect.github.com/huggingface/transformers/issues/35750";>#35750</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/02ecdcfc0f7d81e90a9c8e7f9e6d636123a84254";><code>02ecdcf</code></a>
add _keep_in_fp32_modules_strict (<a
href="https://redirect.github.com/huggingface/transformers/issues/39058";>#39058</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/d973e62fdd86d64259f87debc46bbcbf6c7e5de2";><code>d973e62</code></a>
fix condition where torch_dtype auto collides with model_kwargs. (<a
href="https://redirect.github.com/huggingface/transformers/issues/39054";>#39054</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/44b231671db25974cfebcdae34402ad5099bf37a";><code>44b2316</code></a>
[qwen2-vl] fix vision attention scaling (<a
href="https://redirect.github.com/huggingface/transformers/issues/39043";>#39043</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/ae15715df138949328d18e1dd95fd9cb4efb8e09";><code>ae15715</code></a>
polishing docs: error fixes for clarity (<a
href="https://redirect.github.com/huggingface/transformers/issues/39042";>#39042</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/3abeaba7e53512ef9c1314163dd7e462ab405ce6";><code>3abeaba</code></a>
Create test for <a
href="https://redirect.github.com/huggingface/transformers/issues/38916";>#38916</a>
(custom generate from local dir with imports) (<a
href="https://redirect.github.com/huggingface/transformers/issues/39015";>#39015</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/huggingface/transformers/compare/v4.44.2...v4.53.0";>compare
view</a></li>
</ul>
</details>
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Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot]
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Co-authored-by: Xinyuan Lin <[email protected]>
---
core/amber/requirements.txt | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/core/amber/requirements.txt b/core/amber/requirements.txt
index a1fc2c9c2d..00856f8862 100644
--- a/core/amber/requirements.txt
+++ b/core/amber/requirements.txt
@@ -42,7 +42,7 @@ python-lsp-server[websockets]==1.12.0
bidict==0.22.0
cached_property==1.5.2
psutil==5.9.0
-transformers==4.44.2
+transformers==4.53.0
tzlocal==2.1
pyiceberg==0.8.1
readerwriterlock==1.0.9
![https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg"](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg"){kind=link}
