dependabot[bot] opened a new pull request, #1068: URL: https://github.com/apache/singa/pull/1068
Bumps [transformers](https://github.com/huggingface/transformers) from 2.5.1 to 4.30.0. <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>v4.30.0: 100k, Agents improvements, Safetensors core dependency, Swiftformer, Autoformer, MobileViTv2, timm-as-a-backbone</h2> <h2>100k</h2> <p>Transformers has just reached 100k stars on GitHub, and to celebrate we wanted to highlight 100 projects in the vicinity of <code>transformers</code> and we have decided to create an <a href="https://github.com/huggingface/transformers/blob/main/awesome-transformers.md";>awesome-transformers</a> page to do just that.</p> <p>We accept PRs to add projects to the list!</p> <ul> <li>Top 100 by <a href="https://github.com/LysandreJik";><code>@LysandreJik</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/22912";>#22912</a></li> <li>Add LlamaIndex to awesome-transformers.md by <a href="https://github.com/ravi03071991";><code>@ravi03071991</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/23484";>#23484</a></li> <li>add cleanlab to awesome-transformers tools list by <a href="https://github.com/jwmueller";><code>@jwmueller</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/23440";>#23440</a></li> </ul> <h2>4-bit quantization and QLoRA</h2> <p>By leveraging the <code>bitsandbytes</code> library by <a href="https://github.com/TimDettmers";><code>@TimDettmers</code></a>, we add 4-bit support to <code>transformers</code> models!</p> <ul> <li>4-bit QLoRA via bitsandbytes (4-bit base model + LoRA) by <a href="https://github.com/TimDettmers";><code>@TimDettmers</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/23479";>#23479</a></li> </ul> <h2>Agents</h2> <p>The Agents framework has been improved and continues to be stabilized. Among bug fixes, here are the important new features that were added:</p> <ul> <li>Local agent capabilities, to load a generative model directly from <code>transformers</code> instead of relying on APIs.</li> <li>Prompts are now hosted on the Hub, which means that anyone can fork the prompts and update them with theirs, to let other community contributors re-use them</li> <li>We add an <code>AzureOpenAiAgent</code> class to support Azure OpenAI agents.</li> </ul> <ul> <li>Add local agent by <a href="https://github.com/sgugger";><code>@sgugger</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/23438";>#23438</a></li> <li>Enable prompts on the Hub by <a href="https://github.com/sgugger";><code>@sgugger</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/23662";>#23662</a></li> <li>Add AzureOpenAiAgent by <a href="https://github.com/sgugger";><code>@sgugger</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/24058";>#24058</a></li> </ul> <h2>Safetensors</h2> <p>The <code>safetensors</code> library is a safe serialization framework for machine learning tensors. It has been audited and will become the default serialization framework for several organizations (Hugging Face, EleutherAI, Stability AI).</p> <p>It has now become a core dependency of <code>transformers</code>.</p> <ul> <li>Making <code>safetensors</code> a core dependency. by <a href="https://github.com/Narsil";><code>@Narsil</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/23254";>#23254</a></li> </ul> <h2>New models</h2> <h3>Swiftformer</h3> <p>The SwiftFormer paper introduces a novel efficient additive attention mechanism that effectively replaces the quadratic matrix multiplication operations in the self-attention computation with linear element-wise multiplications. A series of models called ‘SwiftFormer’ is built based on this, which achieves state-of-the-art performance in terms of both accuracy and mobile inference speed. Even their small variant achieves 78.5% top-1 ImageNet1K accuracy with only 0.8 ms latency on iPhone 14, which is more accurate and 2× faster compared to MobileViT-v2.</p> <ul> <li>Add swiftformer by <a href="https://github.com/shehanmunasinghe";><code>@shehanmunasinghe</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/22686";>#22686</a></li> </ul> <h3>Autoformer</h3> <p>This model augments the Transformer as a deep decomposition architecture, which can progressively decompose the trend and seasonal components during the forecasting process.</p> <ul> <li>[Time-Series] Autoformer model by <a href="https://github.com/elisim";><code>@elisim</code></a> in <a href="https://redirect.github.com/huggingface/transformers/issues/21891";>#21891</a></li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/huggingface/transformers/commit/fe861e578f50dc9c06de33cd361d2f625017e624";><code>fe861e5</code></a> [<code>GPT2</code>] Add correct keys on <code>_keys_to_ignore_on_load_unexpected</code> on all chil...</li> <li><a href="https://github.com/huggingface/transformers/commit/b3e27a80578d022301611363b890107244e12354";><code>b3e27a8</code></a> Update the pin on Accelerate (<a href="https://redirect.github.com/huggingface/transformers/issues/24110";>#24110</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/53e1f5cf66d320b9c809f3940c707b6fef435d2d";><code>53e1f5c</code></a> [<code>Trainer</code>] Correct behavior of <code>_load_best_model</code> for PEFT models (<a href="https://redirect.github.com/huggingface/transformers/issues/24103";>#24103</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/17db177714b03103bb94cd71b7dd414bc63bffd5";><code>17db177</code></a> reset accelerate env variables after each test (<a href="https://redirect.github.com/huggingface/transformers/issues/24107";>#24107</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/905892f09027cab690918c7766fea1bb51bcdd26";><code>905892f</code></a> Release: v4.30.0</li> <li><a href="https://github.com/huggingface/transformers/commit/c3572e6bfba13ce6dc3fedb05cd1a946ea109576";><code>c3572e6</code></a> Add AzureOpenAiAgent (<a href="https://redirect.github.com/huggingface/transformers/issues/24058";>#24058</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/5eb3d3c7023ed0522d3c743ee2e13d896a3aa788";><code>5eb3d3c</code></a> Up pinned accelerate version (<a href="https://redirect.github.com/huggingface/transformers/issues/24089";>#24089</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/d1c039e39864a41f6eb8b770a65f123c40164ea5";><code>d1c039e</code></a> fix accelerator prepare during eval only mode (<a href="https://redirect.github.com/huggingface/transformers/issues/24014";>#24014</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/2c887cf8e0cb1ac96d28361ff3235a77f83c36ee";><code>2c887cf</code></a> Do not prepare lr scheduler as it as the right number of steps (<a href="https://redirect.github.com/huggingface/transformers/issues/24088";>#24088</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/12298cb65c7e9d615b749dde935a0b4966f4ae49";><code>12298cb</code></a> fix executable batch size issue (<a href="https://redirect.github.com/huggingface/transformers/issues/24067";>#24067</a>)</li> <li>Additional commits viewable in <a href="https://github.com/huggingface/transformers/compare/v2.5.1...v4.30.0";>compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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