nimaafshar commited on
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tokenizer updated

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+ d="M145.726 42.065L36.43 105.17v42.065l72.861-42.065v42.065l36.435-21.03v-84.14zM255.022 63.1l-36.435 21.035v42.07l36.435-21.035V63.1zm-72.865 84.135l-36.43 21.035v42.07l36.43-21.036v-42.07zm-36.43 63.104l-36.436-21.035v84.135l36.435-21.035V210.34z"
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+ fill="#ED8E24"
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+ d="M145.726 0L0 84.135l36.43 21.035l109.296-63.105l72.861 42.07L255.022 63.1L145.726 0zm0 126.204l-36.435 21.03l36.435 21.036l36.43-21.035l-36.43-21.03z"
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+ fill="#F8BF3C"
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+ <span>
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+ TensorFlow
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+ from-green-50 to-green-50 text-green-800 hover:to-green-100
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+ href="/models?filter=fa"
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+ tag-id="fa"
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+ fa
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+ from-blue-50 to-blue-50 text-blue-800 hover:to-blue-100
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+ href="/models?filter=license:apache-2.0"
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+ tag-id="license:apache-2.0"
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+ apache-2.0
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+ <a class="
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+ tag mr-1 mb-1 md:mr-1.5 md:mb-1.5 h-7 flex-none
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+ from-purple-50 to-purple-50 text-purple-800 hover:to-purple-100
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+ "
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+ href="/models?filter=bert"
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+ tag-id="bert"
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+ >
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+ <span>
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+ bert
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+ </span>
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+
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+ </a>
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+ <div class="border-b border-gray-100">
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+ <div class="flex items-center justify-between">
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+ <div class="flex items-center h-12 -mb-px overflow-x-auto overflow-y-hidden">
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+ class="tab-alternate active"
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+ href="/HooshvareLab/bert-fa-base-uncased-sentiment-digikala"
326
+ class="uim-quaternary"
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+ d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z"
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+ opacity=".25"
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+ d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z"
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+ Model card
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+ <a
333
+ class="tab-alternate "
334
+ href="/HooshvareLab/bert-fa-base-uncased-sentiment-digikala/tree/main"
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+ >
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+ <svg
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+ class="mr-1.5 text-gray-400"
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+ viewBox="0 0 24 24"
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+ class="uim-tertiary"
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+ d="M21 19h-8a1 1 0 0 1 0-2h8a1 1 0 0 1 0 2zm0-4h-8a1 1 0 0 1 0-2h8a1 1 0 0 1 0 2zm0-8h-8a1 1 0 0 1 0-2h8a1 1 0 0 1 0 2zm0 4h-8a1 1 0 0 1 0-2h8a1 1 0 0 1 0 2z"
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+ opacity=".5"
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+ class="uim-primary"
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+ d="M9 19a1 1 0 0 1-1-1V6a1 1 0 0 1 2 0v12a1 1 0 0 1-1 1zm-6-4.333a1 1 0 0 1-.64-1.769L3.438 12l-1.078-.898a1 1 0 0 1 1.28-1.538l2 1.667a1 1 0 0 1 0 1.538l-2 1.667a.999.999 0 0 1-.64.231z"
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+ Files and versions
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+ </a>
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+ <div class="relative hidden space-x-1.5 md:flex">
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+ <div
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+ class="v2-dropdown relative "
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+ <button
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+ class="v2-dropdown-button cursor-pointer btn text-sm"
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+ slot="trigger"
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+ type="button"
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+ <svg
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+ class="mr-1.5"
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+ d="M31 16l-7 7l-1.41-1.41L28.17 16l-5.58-5.59L24 9l7 7z"
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+ d="M1 16l7-7l1.41 1.41L3.83 16l5.58 5.59L8 23l-7-7z"
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+ d="M12.419 25.484L17.639 6l1.932.518L14.35 26z"
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+ Use in transformers
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+ </button><div
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+ class="v2-dropdown-menu hidden absolute mt-1 min-w-full bg-white rounded-xl overflow-hidden shadow-lg z-10 border border-gray-100 right-0 top-full "
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+ <ul class="min-w-full w-auto">
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+ <div class="v2-to-clipboard" style="width: 700px;">
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+ How to use from the
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+ <a target="_blank" href="https://github.com/huggingface/transformers">🤗/transformers</a>
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+ library:
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+ <button
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+ class="v2-to-clipboard-button text-sm underline flex items-center cursor-pointer text-gray-500"
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+ >
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+ <svg
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+ class="mr-1"
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+ <path
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+ d="M25.7 9.3l-7-7A.908.908 0 0 0 18 2H8a2.006 2.006 0 0 0-2 2v24a2.006 2.006 0 0 0 2 2h16a2.006 2.006 0 0 0 2-2V10a.908.908 0 0 0-.3-.7zM18 4.4l5.6 5.6H18zM24 28H8V4h8v6a2.006 2.006 0 0 0 2 2h6z"
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+ fill="currentColor"
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+ ></path>
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+ Copy to clipboard
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+ </button>
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+ <pre class="v2-to-clipboard-content whitespace-pre-line text-sm p-4 text-gray-700">
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+ tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-base-uncased-sentiment-digikala")
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+
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+ model = AutoModelForSequenceClassification.from_pretrained("HooshvareLab/bert-fa-base-uncased-sentiment-digikala")
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+
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+ <div class="border-b px-4 py-2 bg-gradient-to-r from-gray-50 to-white border-gray-200 flex justify-between items-center h-11">
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+ <h3 class="font-semibold">
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+ Or just clone the model repo
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+ </h3>
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+ </div>
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+ <pre class="whitespace-pre-line text-sm p-4 text-gray-700">
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+ git lfs install
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+ git clone https://huggingface.co/HooshvareLab/bert-fa-base-uncased-sentiment-digikala
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+ <div class="text-gray-500 text-xs">
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+ # if you want to clone without large files – just their pointers
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+ # prepend your git clone with the following env var:
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+ GIT_LFS_SKIP_SMUDGE=1
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+ </pre>
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+ </ul>
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+ </div></div>
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+ </div>
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+ </div>
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+ </div>
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+ </header><div
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+ class="container relative space-y-4 flex flex-col md:grid md:gap-6 md:space-y-0 overflow-hidden
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+ md:grid-cols-12
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+ md:flex-1 md:grid-rows-full
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+ "
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+ <section class="pt-8 border-gray-100 md:col-span-7 pb-24">
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+ <div class="lg:pr-20 xl:pr-24 2xl:pr-36">
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+ <div class="prose">
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+ <h1 id="parsbert-v20">ParsBERT (v2.0)</h1>
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+ <p>A Transformer-based Model for Persian Language Understanding</p>
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+ <p>We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes!
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+ Please follow the <a href="https://github.com/hooshvare/parsbert">ParsBERT</a> repo for the latest information about previous and current models.</p>
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+ <h2 id="persian-sentiment-digikala-snappfood-deepsentipers">Persian Sentiment [Digikala, SnappFood, DeepSentiPers]</h2>
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+ <p>It aims to classify text, such as comments, based on their emotional bias. We tested three well-known datasets for this task: <code>Digikala</code> user comments, <code>SnappFood</code> user comments, and <code>DeepSentiPers</code> in two binary-form and multi-form types.</p>
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+ <h3 id="digikala">Digikala</h3>
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+ <p>Digikala user comments provided by <a href="https://www.digikala.com/opendata/">Open Data Mining Program (ODMP)</a>. This dataset contains 62,321 user comments with three labels: </p>
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+ <th align="center">Label</th>
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+ <th align="center">#</th>
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+ <td align="center">no_idea</td>
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+ <td align="center">10394</td>
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+ <td align="center">not_recommended</td>
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+ <td align="center">15885</td>
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+ <td align="center">recommended</td>
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+ <td align="center">36042</td>
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+ <p><strong>Download</strong>
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+ You can download the dataset from <a href="https://www.digikala.com/opendata/">here</a></p>
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+ <h2 id="results">Results</h2>
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+ <p>The following table summarizes the F1 score obtained by ParsBERT as compared to other models and architectures.</p>
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+ <th align="center">Dataset</th>
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+ <th align="center">ParsBERT v2</th>
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+ <th align="center">ParsBERT v1</th>
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+ <th align="center">mBERT</th>
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+ <th align="center">DeepSentiPers</th>
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+ <td align="center">Digikala User Comments</td>
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+ <td align="center">81.72</td>
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+ <td align="center">81.74*</td>
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+ <td align="center">80.74</td>
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+ <td align="center">-</td>
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+ <h2 id="how-to-use-hugs">How to use :hugs:</h2>
440
+ <table>
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+ <thead>
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+ <tr>
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+ <th>Task</th>
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+ <th>Notebook</th>
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+ </thead>
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+ <tbody><tr>
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+ <td>Sentiment Analysis</td>
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+ <td><a href="https://colab.research.google.com/github/hooshvare/parsbert/blob/master/notebooks/Taaghche_Sentiment_Analysis.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td>
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+ </tr>
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+ </tbody></table>
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+ <h3 id="bibtex-entry-and-citation-info">BibTeX entry and citation info</h3>
452
+ <p>Please cite in publications as the following:</p>
453
+ <pre><code class="language-bibtex">@article{ParsBERT,
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+ title={ParsBERT: Transformer-based Model for Persian Language Understanding},
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+ author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
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+ journal={ArXiv},
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+ year={2020},
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+ volume={abs/2005.12515}
459
+ }</code></pre>
460
+ <h2 id="questions">Questions?</h2>
461
+ <p>Post a Github issue on the <a href="https://github.com/hooshvare/parsbert/issues">ParsBERT Issues</a> repo.</p>
462
+
463
+ </div>
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+ <section class="pt-8 border-gray-100 md:col-span-5 pt-6 md:pb-24 md:pl-6 md:border-l order-first md:order-none">
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+ <div class="mb-5 flex justify-between">
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+ <dl>
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+ <dt class="-mb-1 text-sm text-gray-500">
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+ Downloads last month
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+ </dt>
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+ <dd class="font-semibold">
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+ 0
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+ </dd>
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+ </dl>
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+ <div class="model-graph flex-none" style="width: 200px; height: 40px;">
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+
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+ <svg
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+ viewbox="0 0 100 100"
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+ width="100%"
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+ height="100%"
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+ preserveAspectRatio="none"
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+ style="overflow: visible;"
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+ >
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+ <defs>
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+ <linearGradient id="fill-gradient" x1="0%" y1="0%" x2="0%" y2="100%">
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+ <stop offset="0%" style="stop-color: hsl(258, 100%, 67%); stop-opacity:0.5" />
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+ <stop offset="100%" style="stop-color: hsl(258, 100%, 67%); stop-opacity:0.1" />
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+ </linearGradient>
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+ </div>
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+ <div class="border-t pt-4 border-gray-100 bg-white">
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+ <inference-widget
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+ class="inference-widget"
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+ endpoint="https://api-inference.huggingface.co"
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+ data-model="HooshvareLab/bert-fa-base-uncased-sentiment-digikala"
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+ data-mask-token="[MASK]"
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+ <path d="M11 15H6l7-14v8h5l-7 14v-8z" fill="currentColor"></path>
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+ </svg>
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+ Hosted inference API
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+ <a target="_blank" href="/docs">
517
+ <svg xmlns="http://www.w3.org/2000/svg"
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+ xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" class=" ml-1.5 text-sm text-gray-400" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32">
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+ </svg>
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+ </a>
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+ </div>
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+ <div class="flex items-center text-sm text-gray-500 mb-1.5">
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+ <div class="inline-flex items-center space-x-0.5">
527
+ alt=""
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+ class=""
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+ xmlns="http://www.w3.org/2000/svg"
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+ xmlns:xlink="http://www.w3.org/1999/xlink"
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+ aria-hidden="true"
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+ fill="currentColor"
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+ focusable="false"
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+ role="img"
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+ width="1em"
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+ height="1em"
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+ preserveAspectRatio="xMidYMid meet"
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+ viewBox="0 0 32 32"
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+ style="transform: rotate(360deg);"
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+ <circle cx="10" cy="20" r="2" fill="currentColor"></circle>
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+ <circle cx="10" cy="28" r="2" fill="currentColor"></circle>
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+ <circle cx="10" cy="14" r="2" fill="currentColor"></circle>
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+ <circle cx="28" cy="4" r="2" fill="currentColor"></circle>
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+ <circle cx="22" cy="6" r="2" fill="currentColor"></circle>
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+ <circle cx="28" cy="10" r="2" fill="currentColor"></circle>
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+ <circle cx="20" cy="12" r="2" fill="currentColor"></circle>
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+ <circle cx="28" cy="22" r="2" fill="currentColor"></circle>
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+ <circle cx="26" cy="28" r="2" fill="currentColor"></circle>
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+ <circle cx="20" cy="26" r="2" fill="currentColor"></circle>
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+ <circle cx="22" cy="20" r="2" fill="currentColor"></circle>
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+ <circle cx="16" cy="4" r="2" fill="currentColor"></circle>
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+ <circle cx="4" cy="24" r="2" fill="currentColor"></circle>
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+ <circle cx="4" cy="16" r="2" fill="currentColor"></circle>
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+ <span>
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+ Text Classification
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+ </span>
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+ <p class="
558
+ text-gray-500 ml-auto
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+ hidden
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+ ">
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+ Mask token: <code>[MASK]</code>
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+ <form>
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+ <div class="flex h-10">
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+ <input
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+ type="text"
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+ name="text"
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+ placeholder="Your sentence here..."
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+ dir="auto"
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+ class="flex-1 h-10 px-3 border border-gray-200 rounded-l-lg shadow-inner
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+ outline-none focus:ring-1 focus:ring-inset focus:ring-indigo-200 focus:shadow-inner"
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+ >
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+ <button type="submit" class="flex items-center justify-center flex-none w-24 h-10 px-5
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+ text-gray-800 border border-l-0 rounded-r-lg focus:outline-none
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+ focus:ring ring-inset bg-gradient-to-b from-gray-100 to-gray-200
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+ ">
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+ <svg
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+ xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img"
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+ class="text-gray-600 animate-spin hidden"
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+ width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"
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+ >
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+ <g fill="none"><path opacity=".2" fill-rule="evenodd" clip-rule="evenodd" d="M12 19a7 7 0 1 0 0-14a7 7 0 0 0 0 14zm0 3c5.523 0 10-4.477 10-10S17.523 2 12 2S2 6.477 2 12s4.477 10 10 10z" fill="currentColor"></path><path d="M12 22c5.523 0 10-4.477 10-10h-3a7 7 0 0 1-7 7v3z" fill="currentColor"></path><path d="M2 12C2 6.477 6.477 2 12 2v3a7 7 0 0 0-7 7H2z" fill="currentColor"></path></g>
582
+ </svg>
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+ <span class="btn-text">Compute</span>
584
+ </button>
585
+ </div> </form>
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+
587
+ <div class="js-model_loading hidden">
588
+ <div class="flex h-10">
589
+ <div
590
+ class="flex flex-1 items-center justify-center rounded-lg bg-gray-50 relative text-gray-600 shadow-inner">
591
+ <div class="js-progress transition-all absolute inset-y-0 left-0 w-52 bg-gradient-to-t bg-gradient-to-r from-purple-200 to-purple-100 rounded-lg "></div>
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+ <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" class="text-purple-400 animate-spin mr-2 z-10" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><g fill="none"><path opacity=".2" fill-rule="evenodd" clip-rule="evenodd" d="M12 19a7 7 0 1 0 0-14a7 7 0 0 0 0 14zm0 3c5.523 0 10-4.477 10-10S17.523 2 12 2S2 6.477 2 12s4.477 10 10 10z" fill="currentColor"></path><path d="M12 22c5.523 0 10-4.477 10-10h-3a7 7 0 0 1-7 7v3z" fill="currentColor"></path><path d="M2 12C2 6.477 6.477 2 12 2v3a7 7 0 0 0-7 7H2z" fill="currentColor"></path></g></svg>
593
+ <span class="z-10">Model is loading</span>
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+ <div class="blankslate">
595
+ <div class="subtitle">
596
+ <span class="loaded hidden text-xs text-gray-500">This model is currently loaded and running on the Inference API.</span>
597
+ <span class="error hidden text-xs text-gray-500">⚠️ This model could not be loaded by the inference API. ⚠️</span>
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+ ⚡️ Upgrade your account to access the Inference API
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+ [{"text":"به موقع تحویل شد و همه چیز خوب بود."},{"text":"سیب زمینی بی کیفیت بود."},{"text":"قیمت و کیفیت عالی"},{"text":"خوب نبود اصلا"}]
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