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<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Token Classification&quot;,&quot;local&quot;:&quot;token-classification&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Recommended models&quot;,&quot;local&quot;:&quot;recommended-models&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;Using the API&quot;,&quot;local&quot;:&quot;using-the-api&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;API specification&quot;,&quot;local&quot;:&quot;api-specification&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Request&quot;,&quot;local&quot;:&quot;request&quot;,&quot;sections&quot;:[],&quot;depth&quot;:4},{&quot;title&quot;:&quot;Response&quot;,&quot;local&quot;:&quot;response&quot;,&quot;sections&quot;:[],&quot;depth&quot;:4}],&quot;depth&quot;:3}],&quot;depth&quot;:2}">
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<link rel="modulepreload" href="/docs/inference-providers/pr_1663/en/_app/immutable/chunks/IconCurl.399d095b.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Token Classification&quot;,&quot;local&quot;:&quot;token-classification&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Recommended models&quot;,&quot;local&quot;:&quot;recommended-models&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;Using the API&quot;,&quot;local&quot;:&quot;using-the-api&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;API specification&quot;,&quot;local&quot;:&quot;api-specification&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Request&quot;,&quot;local&quot;:&quot;request&quot;,&quot;sections&quot;:[],&quot;depth&quot;:4},{&quot;title&quot;:&quot;Response&quot;,&quot;local&quot;:&quot;response&quot;,&quot;sections&quot;:[],&quot;depth&quot;:4}],&quot;depth&quot;:3}],&quot;depth&quot;:2}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h2 class="relative group"><a id="token-classification" 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="#token-classification"><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>Token Classification</span></h2> <p data-svelte-h="svelte-gykbzu">Token classification is a task in which a label is assigned to some tokens in a text. Some popular token classification subtasks are Named Entity Recognition (NER) and Part-of-Speech (PoS) tagging.</p> <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-xosqv4">For more details about the <code>token-classification</code> task, check out its <a href="https://huggingface.co/tasks/token-classification" rel="nofollow">dedicated page</a>! You will find examples and related materials.</p></div> <h3 class="relative group"><a id="recommended-models" 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="#recommended-models"><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>Recommended models</span></h3> <ul data-svelte-h="svelte-93enhi"><li><a href="https://huggingface.co/dslim/bert-base-NER" rel="nofollow">dslim/bert-base-NER</a>: A robust performance model to identify people, locations, organizations and names of miscellaneous entities.</li> <li><a href="https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english" rel="nofollow">FacebookAI/xlm-roberta-large-finetuned-conll03-english</a>: A strong model to identify people, locations, organizations and names in multiple languages.</li> <li><a href="https://huggingface.co/blaze999/Medical-NER" rel="nofollow">blaze999/Medical-NER</a>: A token classification model specialized on medical entity recognition.</li> <li><a href="https://huggingface.co/flair/ner-english" rel="nofollow">flair/ner-english</a>: Flair models are typically the state of the art in named entity recognition tasks.</li></ul> <p data-svelte-h="svelte-tpfnlj">Explore all available models and find the one that suits you best <a href="https://huggingface.co/models?inference=warm&pipeline_tag=token-classification&sort=trending" rel="nofollow">here</a>.</p> <h3 class="relative group"><a id="using-the-api" 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="#using-the-api"><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>Using the API</span></h3> <div class="flex gap-x-2 justify-between md:items-top w-full text-sm not-prose flex-col md:flex-row"> <div><p class="font-mono text-xs opacity-50 hidden md:block" data-svelte-h="svelte-1s5bpew">Language</p> <div class="my-1.5 flex items-center gap-x-1 gap-y-0.5 flex-wrap"><button class="text-md flex select-none items-center rounded-lg border px-1.5 py-1 leading-none border-gray-800 bg-black text-white dark:bg-gray-700" type="button"><svg class="mr-1.5 text-current" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path 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client = InferenceClient(
provider=<span class="hljs-string">&quot;hf-inference&quot;</span>,
api_key=<span class="hljs-string">&quot;hf_xxxxxxxxxxxxxxxxxxxxxxxx&quot;</span>,
)
result = client.token_classification(
inputs=<span class="hljs-string">&quot;My name is Sarah Jessica Parker but you can call me Jessica&quot;</span>,
model=<span class="hljs-string">&quot;dslim/bert-base-NER&quot;</span>,
)<!-- HTML_TAG_END --></pre></div> <h3 class="relative group"><a id="api-specification" 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="#api-specification"><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>API specification</span></h3> <h4 class="relative group"><a id="request" 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="#request"><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>Request</span></h4> <table data-svelte-h="svelte-107xp03"><thead><tr><th align="left">Payload</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>inputs*</strong></td> <td align="left"><em>string</em></td> <td align="left">The input text data</td></tr> <tr><td align="left"><strong>parameters</strong></td> <td align="left"><em>object</em></td> <td align="left"></td></tr> <tr><td align="left"><strong>        ignore_labels</strong></td> <td align="left"><em>string[]</em></td> <td align="left">A list of labels to ignore</td></tr> <tr><td align="left"><strong>        stride</strong></td> <td align="left"><em>integer</em></td> <td align="left">The number of overlapping tokens between chunks when splitting the input text.</td></tr> <tr><td align="left"><strong>        aggregation_strategy</strong></td> <td align="left"><em>string</em></td> <td align="left">One of the following:</td></tr> <tr><td align="left"><strong>                 (#1)</strong></td> <td align="left"><em>’none’</em></td> <td align="left">Do not aggregate tokens</td></tr> <tr><td align="left"><strong>                 (#2)</strong></td> <td align="left"><em>’simple’</em></td> <td align="left">Group consecutive tokens with the same label in a single entity.</td></tr> <tr><td align="left"><strong>                 (#3)</strong></td> <td align="left"><em>’first’</em></td> <td align="left">Similar to “simple”, also preserves word integrity (use the label predicted for the first token in a word).</td></tr> <tr><td align="left"><strong>                 (#4)</strong></td> <td align="left"><em>’average’</em></td> <td align="left">Similar to “simple”, also preserves word integrity (uses the label with the highest score, averaged across the word’s tokens).</td></tr> <tr><td align="left"><strong>                 (#5)</strong></td> <td align="left"><em>’max’</em></td> <td align="left">Similar to “simple”, also preserves word integrity (uses the label with the highest score across the word’s tokens).</td></tr></tbody></table> <p data-svelte-h="svelte-xa4wks">Some options can be configured by passing headers to the Inference API. Here are the available headers:</p> <table data-svelte-h="svelte-2rfiu7"><thead><tr><th align="left">Headers</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>authorization</strong></td> <td align="left"><em>string</em></td> <td align="left">Authentication header in the form <code>&#39;Bearer: hf_****&#39;</code> when <code>hf_****</code> is a personal user access token with Inference API permission. You can generate one from <a href="https://huggingface.co/settings/tokens" rel="nofollow">your settings page</a>.</td></tr> <tr><td align="left"><strong>x-use-cache</strong></td> <td align="left"><em>boolean, default to <code>true</code></em></td> <td align="left">There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching <a href="../parameters#caching%5D">here</a>.</td></tr> <tr><td align="left"><strong>x-wait-for-model</strong></td> <td align="left"><em>boolean, default to <code>false</code></em></td> <td align="left">If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability <a href="../overview#eligibility%5D">here</a>.</td></tr></tbody></table> <p data-svelte-h="svelte-1ps9cb1">For more information about Inference API headers, check out the parameters <a href="../parameters">guide</a>.</p> <h4 class="relative group"><a id="response" 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="#response"><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>Response</span></h4> <table data-svelte-h="svelte-1mtyyyz"><thead><tr><th align="left">Body</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>(array)</strong></td> <td align="left"><em>object[]</em></td> <td align="left">Output is an array of objects.</td></tr> <tr><td align="left"><strong>        entity_group</strong></td> <td align="left"><em>string</em></td> <td align="left">The predicted label for a group of one or more tokens</td></tr> <tr><td align="left"><strong>        entity</strong></td> <td align="left"><em>string</em></td> <td align="left">The predicted label for a single token</td></tr> <tr><td align="left"><strong>        score</strong></td> <td align="left"><em>number</em></td> <td align="left">The associated score / probability</td></tr> <tr><td align="left"><strong>        word</strong></td> <td align="left"><em>string</em></td> <td align="left">The corresponding text</td></tr> <tr><td align="left"><strong>        start</strong></td> <td align="left"><em>integer</em></td> <td align="left">The character position in the input where this group begins.</td></tr> <tr><td align="left"><strong>        end</strong></td> <td align="left"><em>integer</em></td> <td align="left">The character position in the input where this group ends.</td></tr></tbody></table> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/hub-docs/blob/main/docs/inference-providers/tasks/token-classification.md" target="_blank"><span data-svelte-h="svelte-1kd6by1">&lt;</span> <span data-svelte-h="svelte-x0xyl0">&gt;</span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p>
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