Bump transformers from 4.35.2 to 4.36.0 in /onnxruntime/python/tools/…

…transformers/models/stable_diffusion (#18896)

Bumps [transformers](https://github.com/huggingface/transformers) from
4.35.2 to 4.36.0.
<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>v4.36: Mixtral, Llava/BakLlava, SeamlessM4T v2, AMD ROCm, F.sdpa
wide-spread support</h2>
<h2>New model additions</h2>
<h3>Mixtral</h3>
<p>Mixtral is the new open-source model from Mistral AI announced by the
blogpost <a href="https://mistral.ai/news/mixtral-of-experts/">Mixtral
of Experts</a>. The model has been proven to have comparable
capabilities to Chat-GPT according to the benchmark results shared on
the release blogpost.</p>
<!-- raw HTML omitted -->
<p>The architecture is a sparse Mixture of Experts with Top-2 routing
strategy, similar as <code>NllbMoe</code> architecture in transformers.
You can use it through <code>AutoModelForCausalLM</code> interface:</p>
<pre lang="py"><code>&gt;&gt;&gt; import torch
&gt;&gt;&gt; from transformers import AutoModelForCausalLM,
AutoTokenizer
<p>&gt;&gt;&gt; model =
AutoModelForCausalLM.from_pretrained(&quot;mistralai/Mixtral-8x7B&quot;,
torch_dtype=torch.float16, device_map=&quot;auto&quot;)
&gt;&gt;&gt; tokenizer =
AutoTokenizer.from_pretrained(&quot;mistralai/Mistral-8x7B&quot;)</p>
<p>&gt;&gt;&gt; prompt = &quot;My favourite condiment is&quot;</p>
<p>&gt;&gt;&gt; model_inputs = tokenizer([prompt],
return_tensors=&quot;pt&quot;).to(device)
&gt;&gt;&gt; model.to(device)</p>
<p>&gt;&gt;&gt; generated_ids = model.generate(**model_inputs,
max_new_tokens=100, do_sample=True)
&gt;&gt;&gt; tokenizer.batch_decode(generated_ids)[0]
</code></pre></p>
<p>The model is compatible with existing optimisation tools such Flash
Attention 2, <code>bitsandbytes</code> and PEFT library. The checkpoints
are release under <a
href="https://huggingface.co/mistralai"><code>mistralai</code></a>
organisation on the Hugging Face Hub.</p>
<h3>Llava / BakLlava</h3>
<p>Llava is an open-source chatbot trained by fine-tuning LlamA/Vicuna
on GPT-generated multimodal instruction-following data. It is an
auto-regressive language model, based on the transformer architecture.
In other words, it is an multi-modal version of LLMs fine-tuned for chat
/ instructions.</p>
<!-- raw HTML omitted -->
<p>The Llava model was proposed in <a
href="https://arxiv.org/pdf/2310.03744">Improved Baselines with Visual
Instruction Tuning</a> by Haotian Liu, Chunyuan Li, Yuheng Li and Yong
Jae Lee.</p>
<ul>
<li>[<code>Llava</code>] Add Llava to transformers by <a
href="https://github.com/younesbelkada"><code>@​younesbelkada</code></a>
in <a
href="https://redirect.github.com/huggingface/transformers/issues/27662">#27662</a></li>
<li>[LLaVa] Some improvements by <a
href="https://github.com/NielsRogge"><code>@​NielsRogge</code></a> in <a
href="https://redirect.github.com/huggingface/transformers/issues/27895">#27895</a></li>
</ul>
<p>The integration also includes <a
href="https://github.com/SkunkworksAI/BakLLaVA"><code>BakLlava</code></a>
which is a Llava model trained with Mistral backbone.</p>
<p>The mode is compatible with <code>&quot;image-to-text&quot;</code>
pipeline:</p>
<pre lang="py"><code>from transformers import pipeline
from PIL import Image    
import requests
<p>model_id = &quot;llava-hf/llava-1.5-7b-hf&quot;
&lt;/tr&gt;&lt;/table&gt;
</code></pre></p>
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/huggingface/transformers/commit/14666775a296a76c88e1aa686a9547f393d322e2"><code>1466677</code></a>
Release: v4.36.0</li>
<li><a
href="https://github.com/huggingface/transformers/commit/accccdd0087263a1e494e9c9ec30a43043ff3905"><code>accccdd</code></a>
[<code>Add Mixtral</code>] Adds support for the Mixtral MoE (<a
href="https://redirect.github.com/huggingface/transformers/issues/27942">#27942</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/0676d992a5c1f6107a611018494ec952613a4d7f"><code>0676d99</code></a>
[<code>from_pretrained</code>] Make from_pretrained fast again (<a
href="https://redirect.github.com/huggingface/transformers/issues/27709">#27709</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/9f18cc6df0b7e0d50f78b9e9fcb3aafa7b5160fe"><code>9f18cc6</code></a>
Fix SDPA dispatch &amp; make SDPA CI compatible with torch&lt;2.1.1 (<a
href="https://redirect.github.com/huggingface/transformers/issues/27940">#27940</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/7ea21f1f035d683cc39a0c0f4b2605175e1dcfdf"><code>7ea21f1</code></a>
[LLaVa] Some improvements (<a
href="https://redirect.github.com/huggingface/transformers/issues/27895">#27895</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/5e620a92cf7e6c312435db86ec55e13b75dece75"><code>5e620a9</code></a>
Fix <code>SeamlessM4Tv2ModelIntegrationTest</code> (<a
href="https://redirect.github.com/huggingface/transformers/issues/27911">#27911</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/e96c1de1913c307fddcb3e5881388a6dbb5b00b1"><code>e96c1de</code></a>
Skip <code>UnivNetModelTest::test_multi_gpu_data_parallel_forward</code>
(<a
href="https://redirect.github.com/huggingface/transformers/issues/27912">#27912</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/8d8970efdd0e21b54f1c82dec21e8a5eeba609a1"><code>8d8970e</code></a>
[BEiT] Fix test (<a
href="https://redirect.github.com/huggingface/transformers/issues/27934">#27934</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/235be08569000a5361354f766972e653212bf0d3"><code>235be08</code></a>
[DETA] fix backbone freeze/unfreeze function (<a
href="https://redirect.github.com/huggingface/transformers/issues/27843">#27843</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/df5c5c62ae253055336f5bb0828ca8e3e15ab6bd"><code>df5c5c6</code></a>
Fix typo (<a
href="https://redirect.github.com/huggingface/transformers/issues/27918">#27918</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/huggingface/transformers/compare/v4.35.2...v4.36.0">compare
view</a></li>
</ul>
</details>
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onnxruntime/python/tools/transformers/models/stable_diffusion/requirements.txt

@@ -1,5 +1,5 @@
 diffusers==0.24.0
-transformers==4.35.2
+transformers==4.36.0
 numpy>=1.24.1
 accelerate
 onnx==1.14.1