Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Supported architectures","local":"supported-architectures","sections":[{"title":"Transformers","local":"transformers","sections":[],"depth":2},{"title":"Diffusers","local":"diffusers","sections":[],"depth":2},{"title":"Sentence Transformers","local":"sentence-transformers","sections":[],"depth":2}],"depth":1}"> | |
| <link href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/entry/start.6799d766.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/chunks/scheduler.85c25b89.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/chunks/singletons.6d87408b.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/chunks/paths.19a3cd60.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/entry/app.85106e1c.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/chunks/index.c9bcf812.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/nodes/0.5ac349ef.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/nodes/41.0dc060f8.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/chunks/Tip.d8f753fa.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/v0.3.0/en/_app/immutable/chunks/getInferenceSnippets.5ea0a804.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Supported architectures","local":"supported-architectures","sections":[{"title":"Transformers","local":"transformers","sections":[],"depth":2},{"title":"Diffusers","local":"diffusers","sections":[],"depth":2},{"title":"Sentence Transformers","local":"sentence-transformers","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="supported-architectures" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#supported-architectures"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Supported architectures</span></h1> <h2 class="relative group"><a id="transformers" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#transformers"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Transformers</span></h2> <table data-svelte-h="svelte-1qcvzul"><thead><tr><th>Architecture</th> <th>Task</th></tr></thead> <tbody><tr><td>ALBERT</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>AST</td> <td>feature-extraction, audio-classification</td></tr> <tr><td>BERT</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>Beit</td> <td>feature-extraction, image-classification</td></tr> <tr><td>CamemBERT</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>CLIP</td> <td>feature-extraction, image-classification</td></tr> <tr><td>ConvBERT</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>ConvNext</td> <td>feature-extraction, image-classification</td></tr> <tr><td>ConvNextV2</td> <td>feature-extraction, image-classification</td></tr> <tr><td>CvT</td> <td>feature-extraction, image-classification</td></tr> <tr><td>DeBERTa (INF2 only)</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>DeBERTa-v2 (INF2 only)</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>Deit</td> <td>feature-extraction, image-classification</td></tr> <tr><td>DistilBERT</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>DonutSwin</td> <td>feature-extraction</td></tr> <tr><td>Dpt</td> <td>feature-extraction</td></tr> <tr><td>ELECTRA</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>ESM</td> <td>feature-extraction, fill-mask, text-classification, token-classification</td></tr> <tr><td>FlauBERT</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>Granite</td> <td>text-generation</td></tr> <tr><td>Hubert</td> <td>feature-extraction, automatic-speech-recognition, audio-classification</td></tr> <tr><td>Levit</td> <td>feature-extraction, image-classification</td></tr> <tr><td>Llama, Llama 2, Llama 3</td> <td>text-generation</td></tr> <tr><td>Mixtral</td> <td>text-generation</td></tr> <tr><td>MobileBERT</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>MobileNetV2</td> <td>feature-extraction, image-classification, semantic-segmentation</td></tr> <tr><td>MobileViT</td> <td>feature-extraction, image-classification, semantic-segmentation</td></tr> <tr><td>ModernBERT</td> <td>feature-extraction, fill-mask, text-classification, token-classification</td></tr> <tr><td>MPNet</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>Phi3</td> <td>text-generation</td></tr> <tr><td>Phi</td> <td>feature-extraction, text-classification, token-classification</td></tr> <tr><td>Qwen2</td> <td>text-generation</td></tr> <tr><td>RoBERTa</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>RoFormer</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>Swin</td> <td>feature-extraction, image-classification</td></tr> <tr><td>T5</td> <td>text2text-generation</td></tr> <tr><td>UniSpeech</td> <td>feature-extraction, automatic-speech-recognition, audio-classification</td></tr> <tr><td>UniSpeech-SAT</td> <td>feature-extraction, automatic-speech-recognition, audio-classification, audio-frame-classification, audio-xvector</td></tr> <tr><td>ViT</td> <td>feature-extraction, image-classification</td></tr> <tr><td>Wav2Vec2</td> <td>feature-extraction, automatic-speech-recognition, audio-classification, audio-frame-classification, audio-xvector</td></tr> <tr><td>WavLM</td> <td>feature-extraction, automatic-speech-recognition, audio-classification, audio-frame-classification, audio-xvector</td></tr> <tr><td>Whisper</td> <td>automatic-speech-recognition</td></tr> <tr><td>XLM</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>XLM-RoBERTa</td> <td>feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification</td></tr> <tr><td>Yolos</td> <td>feature-extraction, object-detection</td></tr></tbody></table> <h2 class="relative group"><a id="diffusers" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#diffusers"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Diffusers</span></h2> <table data-svelte-h="svelte-1namjkz"><thead><tr><th>Architecture</th> <th>Task</th></tr></thead> <tbody><tr><td>Stable Diffusion</td> <td>text-to-image, image-to-image, inpaint</td></tr> <tr><td>Stable Diffusion XL Base</td> <td>text-to-image, image-to-image, inpaint</td></tr> <tr><td>Stable Diffusion XL Refiner</td> <td>image-to-image, inpaint</td></tr> <tr><td>SDXL Turbo</td> <td>text-to-image, image-to-image, inpaint</td></tr> <tr><td>LCM</td> <td>text-to-image</td></tr> <tr><td>PixArt-α</td> <td>text-to-image</td></tr> <tr><td>PixArt-Σ</td> <td>text-to-image</td></tr></tbody></table> <h2 class="relative group"><a id="sentence-transformers" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#sentence-transformers"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Sentence Transformers</span></h2> <table data-svelte-h="svelte-zeg51l"><thead><tr><th>Architecture</th> <th>Task</th></tr></thead> <tbody><tr><td>Transformer</td> <td>feature-extraction, sentence-similarity</td></tr> <tr><td>CLIP</td> <td>feature-extraction, zero-shot-image-classification</td></tr></tbody></table> <div class="course-tip bg-gradient-to-br dark:bg-gradient-to-r before:border-green-500 dark:before:border-green-800 from-green-50 dark:from-gray-900 to-white dark:to-gray-950 border border-green-50 text-green-700 dark:text-gray-400"><p data-svelte-h="svelte-hfkaug">More details for checking supported tasks <a href="https://huggingface.co/docs/optimum-neuron/guides/export_model#selecting-a-task" rel="nofollow">here</a>.</p></div> <p data-svelte-h="svelte-dm8pu8">More architectures coming soon, stay tuned! 🚀</p> <p></p> | |
| <script> | |
| { | |
| __sveltekit_1cneu7z = { | |
| assets: "/docs/optimum.neuron/v0.3.0/en", | |
| base: "/docs/optimum.neuron/v0.3.0/en", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/optimum.neuron/v0.3.0/en/_app/immutable/entry/start.6799d766.js"), | |
| import("/docs/optimum.neuron/v0.3.0/en/_app/immutable/entry/app.85106e1c.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 41], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 13.6 kB
- Xet hash:
- b4ce263111078d5bc2e9952a0536d6069350f16272a45cef779702685cda8890
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.