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<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ ์ํผ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../recipes/recipes_index.html">๋ชจ๋ ๋ ์ํผ ๋ณด๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../prototype/prototype_index.html">๋ชจ๋ ํ๋กํ ํ์
๋ ์ํผ ๋ณด๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ์์ํ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="basics/intro.html">ํ์ดํ ์น(PyTorch) ๊ธฐ๋ณธ ์ตํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/quickstart_tutorial.html">๋น ๋ฅธ ์์(Quickstart)</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/tensorqs_tutorial.html">ํ
์(Tensor)</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/data_tutorial.html">Dataset๊ณผ DataLoader</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/transforms_tutorial.html">๋ณํ(Transform)</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/buildmodel_tutorial.html">์ ๊ฒฝ๋ง ๋ชจ๋ธ ๊ตฌ์ฑํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/autogradqs_tutorial.html"><code class="docutils literal notranslate"><span class="pre">torch.autograd</span></code>๋ฅผ ์ฌ์ฉํ ์๋ ๋ฏธ๋ถ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/optimization_tutorial.html">๋ชจ๋ธ ๋งค๊ฐ๋ณ์ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/saveloadrun_tutorial.html">๋ชจ๋ธ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">Introduction to PyTorch on YouTube</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="introyt.html">Introduction to PyTorch - YouTube Series</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/introyt1_tutorial.html">Introduction to PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/tensors_deeper_tutorial.html">Introduction to PyTorch Tensors</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/autogradyt_tutorial.html">The Fundamentals of Autograd</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/modelsyt_tutorial.html">Building Models with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/tensorboardyt_tutorial.html">PyTorch TensorBoard Support</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/trainingyt.html">Training with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/captumyt.html">Model Understanding with Captum</a></li>
</ul>
<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ฐฐ์ฐ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="deep_learning_60min_blitz.html">PyTorch๋ก ๋ฅ๋ฌ๋ํ๊ธฐ: 60๋ถ๋ง์ ๋์ฅ๋ด๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="pytorch_with_examples.html">์์ ๋ก ๋ฐฐ์ฐ๋ ํ์ดํ ์น(PyTorch)</a></li>
<li class="toctree-l1"><a class="reference internal" href="nn_tutorial.html"><cite>torch.nn</cite> ์ด <em>์ค์ ๋ก</em> ๋ฌด์์ธ๊ฐ์?</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_tutorial.html">TensorBoard๋ก ๋ชจ๋ธ, ๋ฐ์ดํฐ, ํ์ต ์๊ฐํํ๊ธฐ</a></li>
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<p class="caption"><span class="caption-text">์ด๋ฏธ์ง/๋น๋์ค</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../intermediate/torchvision_tutorial.html">TorchVision ๊ฐ์ฒด ๊ฒ์ถ ๋ฏธ์ธ์กฐ์ (Finetuning) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="transfer_learning_tutorial.html">์ปดํจํฐ ๋น์ (Vision)์ ์ํ ์ ์ดํ์ต(Transfer Learning)</a></li>
<li class="toctree-l1"><a class="reference internal" href="fgsm_tutorial.html">์ ๋์ ์์ ์์ฑ(Adversarial Example Generation)</a></li>
<li class="toctree-l1"><a class="reference internal" href="dcgan_faces_tutorial.html">DCGAN ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํ ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
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<p class="caption"><span class="caption-text">์ค๋์ค</span></p>
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<li class="toctree-l1"><a class="reference internal" href="audio_io_tutorial.html">Audio I/O</a></li>
<li class="toctree-l1"><a class="reference internal" href="audio_resampling_tutorial.html">Audio Resampling</a></li>
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<li class="toctree-l1"><a class="reference internal" href="audio_feature_extractions_tutorial.html">Audio Feature Extractions</a></li>
<li class="toctree-l1"><a class="reference internal" href="audio_feature_augmentation_tutorial.html">Audio Feature Augmentation</a></li>
<li class="toctree-l1"><a class="reference internal" href="audio_datasets_tutorial.html">Audio Datasets</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/speech_recognition_pipeline_tutorial.html">Speech Recognition with Wav2Vec2</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/speech_command_classification_with_torchaudio_tutorial.html">Speech Command Classification with torchaudio</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/text_to_speech_with_torchaudio.html">Text-to-speech with torchaudio</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/forced_alignment_with_torchaudio_tutorial.html">Forced Alignment with Wav2Vec2</a></li>
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<p class="caption"><span class="caption-text">ํ
์คํธ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="transformer_tutorial.html">nn.Transformer ์ TorchText ๋ก ์ํ์ค-ํฌ-์ํ์ค(Sequence-to-Sequence) ๋ชจ๋ธ๋งํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/char_rnn_classification_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: ๋ฌธ์-๋จ์ RNN์ผ๋ก ์ด๋ฆ ๋ถ๋ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/char_rnn_generation_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: ๋ฌธ์-๋จ์ RNN์ผ๋ก ์ด๋ฆ ์์ฑํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/seq2seq_translation_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: Sequence to Sequence ๋คํธ์ํฌ์ Attention์ ์ด์ฉํ ๋ฒ์ญ</a></li>
<li class="toctree-l1"><a class="reference internal" href="text_sentiment_ngrams_tutorial.html">torchtext ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ก ํ
์คํธ ๋ถ๋ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="translation_transformer.html">nn.Transformer์ torchtext๋ก ์ธ์ด ๋ฒ์ญํ๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">๊ฐํํ์ต</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/reinforcement_q_learning.html">๊ฐํ ํ์ต (DQN) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/mario_rl_tutorial.html">Train a Mario-playing RL Agent</a></li>
</ul>
<p class="caption"><span class="caption-text">PyTorch ๋ชจ๋ธ์ ํ๋ก๋์
ํ๊ฒฝ์ ๋ฐฐํฌํ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/flask_rest_api_tutorial.html">Flask๋ฅผ ์ฌ์ฉํ์ฌ Python์์ PyTorch๋ฅผ REST API๋ก ๋ฐฐํฌํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="Intro_to_TorchScript_tutorial.html">TorchScript ์๊ฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_export.html">C++์์ TorchScript ๋ชจ๋ธ ๋ก๋ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/super_resolution_with_onnxruntime.html">(์ ํ) PyTorch ๋ชจ๋ธ์ ONNX์ผ๋ก ๋ณํํ๊ณ ONNX ๋ฐํ์์์ ์คํํ๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">Code Transforms with FX</span></p>
<ul>
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<p class="caption"><span class="caption-text">ํ๋ก ํธ์๋ API</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/memory_format_tutorial.html">(๋ฒ ํ) PyTorch๋ฅผ ์ฌ์ฉํ Channels Last ๋ฉ๋ชจ๋ฆฌ ํ์</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/forward_ad_usage.html">Forward-mode Automatic Differentiation (Beta)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_frontend.html">PyTorch C++ ํ๋ก ํธ์๋ ์ฌ์ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/torch-script-parallelism.html">TorchScript์ ๋์ ๋ณ๋ ฌ ์ฒ๋ฆฌ(Dynamic Parallelism)</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../intermediate/custom_function_double_backward_tutorial.html">Double Backward with Custom Functions</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../advanced/torch_script_custom_classes.html">์ปค์คํ
C++ ํด๋์ค๋ก TorchScript ํ์ฅํ๊ธฐ</a></li>
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<p class="caption"><span class="caption-text">๋ชจ๋ธ ์ต์ ํ</span></p>
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<li class="toctree-l1"><a class="reference internal" href="profiler.html">PyTorch ๋ชจ๋ ํ๋กํ์ผ๋ง ํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_profiler_tutorial.html">PyTorch Profiler With TensorBoard</a></li>
<li class="toctree-l1"><a class="reference internal" href="hyperparameter_tuning_tutorial.html">Hyperparameter tuning with Ray Tune</a></li>
<li class="toctree-l1"><a class="reference internal" href="vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํ ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/parametrizations.html">Parametrizations Tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/pruning_tutorial.html">๊ฐ์ง์น๊ธฐ ๊ธฐ๋ฒ(Pruning) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/dynamic_quantization_tutorial.html">(๋ฒ ํ) LSTM ๊ธฐ๋ฐ ๋จ์ด ๋จ์ ์ธ์ด ๋ชจ๋ธ์ ๋์ ์์ํ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dynamic_quantization_bert_tutorial.html">(๋ฒ ํ) BERT ๋ชจ๋ธ ๋์ ์์ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/quantized_transfer_learning_tutorial.html">(๋ฒ ํ) ์ปดํจํฐ ๋น์ ํํ ๋ฆฌ์ผ์ ์ํ ์์ํ๋ ์ ์ดํ์ต(Quantized Transfer Learning)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/static_quantization_tutorial.html">(beta) Static Quantization with Eager Mode in PyTorch</a></li>
</ul>
<p class="caption"><span class="caption-text">๋ณ๋ ฌ ๋ฐ ๋ถ์ฐ ํ์ต</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="dist_overview.html">PyTorch Distributed Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/model_parallel_tutorial.html">๋จ์ผ ๋จธ์ ์ ์ฌ์ฉํ ๋ชจ๋ธ ๋ณ๋ ฌํ ๋ชจ๋ฒ ์ฌ๋ก</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/ddp_tutorial.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ ์ฒ๋ฆฌ ์์ํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dist_tuto.html">PyTorch๋ก ๋ถ์ฐ ์ดํ๋ฆฌ์ผ์ด์
๊ฐ๋ฐํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_tutorial.html">Getting Started with Distributed RPC Framework</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_param_server_tutorial.html">Implementing a Parameter Server Using Distributed RPC Framework</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dist_pipeline_parallel_tutorial.html">Distributed Pipeline Parallelism Using RPC</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_async_execution.html">Implementing Batch RPC Processing Using Asynchronous Executions</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/rpc_ddp_tutorial.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ(DDP)๊ณผ ๋ถ์ฐ RPC ํ๋ ์์ํฌ ๊ฒฐํฉ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/pipeline_tutorial.html">ํ์ดํ๋ผ์ธ ๋ณ๋ ฌํ๋ก ํธ๋์คํฌ๋จธ ๋ชจ๋ธ ํ์ต์ํค๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/ddp_pipeline.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ ์ฒ๋ฆฌ์ ๋ณ๋ ฌ ์ฒ๋ฆฌ ํ์ดํ๋ผ์ธ์ ์ฌ์ฉํ ํธ๋์คํฌ๋จธ ๋ชจ๋ธ ํ์ต</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/generic_join.html">Distributed Training with Uneven Inputs Using the Join Context Manager</a></li>
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<p class="caption"><span class="caption-text">Mobile</span></p>
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<li class="toctree-l1"><a class="reference internal" href="deeplabv3_on_android.html">์๋๋ก์ด๋์์์ ์ด๋ฏธ์ง ๋ถํ DeepLapV3</a></li>
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<div class="section" id="colab-google-drive">
<h1>Colab์์ Google Drive์ ํํ ๋ฆฌ์ผ ๋ฐ์ดํฐ ์ฌ์ฉํ๊ธฐ<a class="headerlink" href="#colab-google-drive" title="Permalink to this headline">ยถ</a></h1>
<p>์ฌ์ฉ์๊ฐ Google Colab์์ ํํ ๋ฆฌ์ผ๊ณผ ๊ด๋ จ๋ ๋
ธํธ๋ถ์ ์ด ์ ์๋๋ก ํ๋ ์๋ก์ด
๊ธฐ๋ฅ์ด ํํ ๋ฆฌ์ผ์ ์ถ๊ฐ๋์์ต๋๋ค. ์ด ๋, ๋ณด๋ค ๋ณต์กํ ํํ ๋ฆฌ์ผ์ ์คํํ๋ ค๋ฉด
์ฌ์ฉ์์ Google Drive ๊ณ์ ์ ๋ฐ์ดํฐ๋ฅผ ๋ณต์ฌํด์ผ ํ ์๋ ์์ต๋๋ค.</p>
<p>์ด ์์ ์์๋ ์ฑ๋ด(Chatbot) ํํ ๋ฆฌ์ผ์ Colab์์ ๋์ํ๋๋ก ๋ณ๊ฒฝํ๋ ๋ฐฉ๋ฒ์
์ค๋ช
ํ๊ฒ ์ต๋๋ค. ์ด๋ฅผ ์ํด์, ๋จผ์ Google Drive์ ๋ก๊ทธ์ธ์ด ๋์ด ์์ด์ผ ํฉ๋๋ค.
(Colab์์ ๋ฐ์ดํฐ์ ์ ๊ทผํ๋ ๋ฐฉ๋ฒ์ ๋ํ ์์ธํ ์ค๋ช
์
<a class="reference external" href="https://colab.research.google.com/notebooks/io.ipynb#scrollTo=XDg9OBaYqRMd">์ฌ๊ธฐ</a>
์์ ์์ ๋
ธํธ๋ถ์ ํตํด ๋ณผ ์ ์์ต๋๋ค.)</p>
<p>์์ํ๊ธฐ ์ ์ <a class="reference external" href="https://tutorials.pytorch.kr/beginner/chatbot_tutorial.html">์ฑ๋ด ํํ ๋ฆฌ์ผ</a>
์ ๋ธ๋ผ์ฐ์ ์ ๋์์ฃผ์ธ์.</p>
<p>ํ์ด์ง ์๋จ์ <strong>Run in Google Colab</strong> ์ ํด๋ฆญํฉ๋๋ค.</p>
<p>Colab์์ ํ์ผ์ด ์ด๋ฆฌ๊ฒ ๋ฉ๋๋ค.</p>
<p><strong>Runtime</strong> ์ ์ ํํ ๋ค <strong>Run All</strong> ์ ์ ํํ๋ฉด ํ์ผ์ ์ฐพ์ ์ ์๋ค(the file canโt be found)๋
์๋ฌ๊ฐ ๋ฐ์ํฉ๋๋ค.</p>
<p>์ด๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด, ํ์ํ ํ์ผ๋ค์ Google Drive์ ๋ณต์ฌํ๊ฒ ์ต๋๋ค.</p>
<ol class="arabic simple">
<li>Google Drive์ ๋ก๊ทธ์ธํฉ๋๋ค.</li>
<li>Google Drive์์ <strong>data</strong> ๋ผ๋ ์ด๋ฆ์ ํด๋ ๋ฐ ์ด ์๋์ <strong>cornell</strong> ๋ผ๋ ํ์
ํด๋๋ ์์ฑํฉ๋๋ค.</li>
<li>Cornell Movie Dialogs Corpus์ ๋ฐฉ๋ฌธํ์ฌ ZIP ํ์ผ์ ๋ด๋ ค๋ฐ์ต๋๋ค.</li>
<li>๋ก์ปฌ ๋จธ์ ์ ์์ถ์ ํ๋๋ค.</li>
<li><strong>movie_lines.txt</strong> ์ <strong>movie_conversations.txt</strong> ํ์ผ์ Google Drive์ ์์ฑํ <strong>data/cornell</strong> ํด๋ ์์
๋ณต์ฌํฉ๋๋ค.</li>
</ol>
<p>์ด์ Google Drive ์์ ํ์ผ์ ๊ฐ๋ฅดํค๋๋ก Colab์ ํ์ผ์ ํธ์งํด์ผ ํฉ๋๋ค.</p>
<p>Colab์์ <em>corpus_name</em> ์ผ๋ก ์์ํ๋ ์ฝ๋ ์น์
์ ์ ๋ถ๋ถ์ ๋ค์ ๋ด์ฉ์ ์ถ๊ฐํฉ๋๋ค:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">google.colab</span> <span class="kn">import</span> <span class="n">drive</span>
<span class="n">drive</span><span class="o">.</span><span class="n">mount</span><span class="p">(</span><span class="s1">'/content/gdrive'</span><span class="p">)</span>
</pre></div>
</div>
<p>์ด์ ๋ค์๊ณผ ๊ฐ์ด 2์ค์ ๋ณ๊ฒฝํ์ธ์:</p>
<ol class="arabic simple">
<li><strong>corpus_name</strong> ๊ฐ์ <strong>โcornellโ</strong> ๋ก ๋ณ๊ฒฝํฉ๋๋ค.</li>
<li><strong>corpus</strong> ๋ก ์์ํ๋ ์ค์ ์๋์ฒ๋ผ ๋ณ๊ฒฝํฉ๋๋ค:</li>
</ol>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">corpus</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">"/content/gdrive/My Drive/data"</span><span class="p">,</span> <span class="n">corpus_name</span><span class="p">)</span>
</pre></div>
</div>
<p>์ด์ Google Drive์ ์
๋ก๋ํ ํ์ผ์ ๊ฐ๋ฆฌํค๊ณ ์์ต๋๋ค.</p>
<p>์ด์ ์ฝ๋ ์น์
์ <strong>Run cell</strong> ๋ฒํผ์ ํด๋ฆญํ๊ฒ ๋๋ฉด Google Drive์ ์ธ์ฆํ๋ผ๋
๋ฉ์์ง๊ฐ ํ์๋๊ณ ์ธ์ฆ ์ฝ๋๋ฅผ ๋ฐ๊ฒ ๋ฉ๋๋ค. ์ธ์ฆ ์ฝ๋๋ฅผ Colab์ ๋ถ์ฌ๋ฃ์ผ๋ฉด
์ค์ ์ด ๋ฉ๋๋ค.</p>
<p>๋
ธํธ๋ถ์ <strong>Runtime</strong> / <strong>Run All</strong> ๋ฉ๋ด ๋ช
๋ น์ ๋ค์ ์คํํ๋ฉด, ์งํ ์ํฉ์ ๋ณผ ์
์์ต๋๋ค. (์ฑ๋ด ํํ ๋ฆฌ์ผ์ ์คํํ๋๋ฐ ์๊ฐ์ด ์ค๋ ๊ฑธ๋ฆฌ๋ ์ฐธ๊ณ ํ์ธ์.)</p>
<p>์ด ์์ ๊ฐ Coalb์์ ๋ณด๋ค ๋ณต์กํ ํํ ๋ฆฌ์ผ์ ์คํํ๋๋ฐ ์์ด์ ์ข์ ์์์ ์ด ๋๊ธธ
๋ฐ๋๋๋ค. PyTorch ํํ ๋ฆฌ์ผ ์ฌ์ดํธ์์ Colab์ ๋ ํ์ฉํ์ฌ ์ฌ์ฉ์๋ค์ด ๋ ์ฝ๊ฒ
์ฌ์ฉํ ์ ์๋ ๋ฐฉ๋ฒ์ ์ฐพ์๋ณด๊ฒ ์ต๋๋ค.</p>
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