Repository: huggingface/transformers
Pull request: Bump transformers from 4.48.0 to 4.53.0 in /examples/tensorflow/language-modeling-tpu

Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.0 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(
&quot;image-text-to-text&quot;,
torch_dtype=torch.bfloat16,
model=&quot;google/gemma-3n-e4b&quot;,
device=&quot;cuda&quot;,
)
output = pipe(
&quot;<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>&quot;,
text=&quot;&lt;image_soft_token&gt; in this image, there is&quot;
)</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/v4.48.0...v4.53.0">compare view</a></li>
</ul>
</details>
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Changed files:
filename: examples/tensorflow/language-modeling-tpu/requirements.txt
patch: @@ -1,3 +1,3 @@
-transformers==4.48.0
+transformers==4.53.0
 datasets==2.9.0
 tokenizers==0.13.2