Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

# Task-Specific Model
<a name="jumpstart-models"></a>

JumpStart mendukung model khusus tugas di lima belas jenis masalah paling populer. Dari jenis masalah yang didukung, Visi dan NLP-related tipe total tiga belas. Ada delapan jenis masalah yang mendukung pelatihan tambahan dan penyempurnaan. Untuk informasi selengkapnya tentang pelatihan inkremental dan penyetelan hiper-parameter, lihat Penyetelan Model Otomatis [ SageMaker AI. ](https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning.html) JumpStart juga mendukung empat algoritma populer untuk pemodelan data tabular.

Anda dapat mencari dan menelusuri model dari JumpStart halaman arahan di Studio atau Studio Classic. Saat Anda memilih model, halaman detail model menyediakan informasi tentang model, dan Anda dapat melatih dan menerapkan model Anda dalam beberapa langkah. Bagian deskripsi menjelaskan apa yang dapat Anda lakukan dengan model, jenis input dan output yang diharapkan, dan tipe data yang diperlukan untuk menyempurnakan model Anda. 

Anda juga dapat menggunakan model secara terprogram dengan [ SageMaker Python SDK. ](https://sagemaker.readthedocs.io/en/stable/) Untuk daftar semua model yang tersedia, lihat Tabel Model Ter [ JumpStart sedia](https://sagemaker.readthedocs.io/en/v2.132.0/doc_utils/pretrainedmodels.html).

Daftar jenis masalah dan tautan ke contoh notebook Jupyter mereka diringkas dalam tabel berikut.


| Jenis masalah  | Mendukung inferensi dengan model pra-terlatih  | Dapat dilatih pada dataset khusus  | Kerangka kerja yang didukung  | Contoh Notebook  | 
| --- | --- | --- | --- | --- | 
| Klasifikasi gambar  | Ya  | Ya  | PyTorch, TensorFlow | [Pengantar JumpStart - Klasifikasi Gambar ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_image_classification/Amazon_JumpStart_Image_Classification.ipynb) | 
| Deteksi objek  | Ya  | Ya  | PyTorch, TensorFlow, MXnet | [Pengantar JumpStart - Deteksi Objek ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_object_detection/Amazon_JumpStart_Object_Detection.ipynb) | 
| Segmentasi semantik  | Ya  | Ya  | MXNet  | [Pengantar JumpStart - Segmentasi Semantik ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_semantic_segmentation/Amazon_JumpStart_Semantic_Segmentation.ipynb) | 
| Segmentasi instans  | Ya  | Ya  | MXNet  | [Pengantar JumpStart - Segmentasi Instance ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_instance_segmentation/Amazon_JumpStart_Instance_Segmentation.ipynb) | 
| Penyematan gambar  | Ya  | Tidak  | TensorFlow, MXnet | [Pengantar JumpStart - Penyematan Gambar ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_image_embedding/Amazon_JumpStart_Image_Embedding.ipynb) | 
| Klasifikasi teks  | Ya  | Ya  | TensorFlow | [Pengantar JumpStart - Klasifikasi Teks ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_classification/Amazon_JumpStart_Text_Classification.ipynb) | 
| Klasifikasi pasangan kalimat  | Ya  | Ya  | TensorFlow, Memeluk Wajah | [Pengantar JumpStart - Klasifikasi Pasangan Kalimat ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_sentence_pair_classification/Amazon_JumpStart_Sentence_Pair_Classification.ipynb) | 
| Menjawab pertanyaan  | Ya  | Ya  | PyTorch, Memeluk Wajah | [Pengantar JumpStart - Menjawab Pertanyaan ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_question_answering/Amazon_JumpStart_Question_Answering.ipynb) | 
| Pengenalan entitas bernama  | Ya  | Tidak  | Memeluk Wajah  | [Pengantar JumpStart - Pengakuan Entitas Bernama ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_named_entity_recognition/Amazon_JumpStart_Named_Entity_Recognition.ipynb) | 
| Ringkasan teks  | Ya  | Tidak  | Memeluk Wajah  | [Pengantar JumpStart - Ringkasan Teks ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_summarization/Amazon_JumpStart_Text_Summarization.ipynb) | 
| Pembuatan teks  | Ya  | Tidak  | Memeluk Wajah  | [Pengantar JumpStart - Pembuatan Teks ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_generation/Amazon_JumpStart_Text_Generation.ipynb) | 
| Terjemahan mesin  | Ya  | Tidak  | Memeluk Wajah  | [Pengantar JumpStart - Terjemahan Mesin ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_machine_translation/Amazon_JumpStart_Machine_Translation.ipynb) | 
| Penyematan teks  | Ya  | Tidak  | TensorFlow, MXnet | [Pengantar JumpStart - Penyematan Teks ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_embedding/Amazon_JumpStart_Text_Embedding.ipynb) | 
| Klasifikasi tabel  | Ya  | Ya  | LightGBM,, XGBoost CatBoost,,, Pembelajar Linear AutoGluon-Tabular TabTransformer | [Pengantar JumpStart - Klasifikasi Tabel - LightGBM, CatBoost ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/lightgbm_catboost_tabular/Amazon_Tabular_Classification_LightGBM_CatBoost.ipynb)<br />[Pengantar JumpStart - Klasifikasi Tabular - XGBoost, Linear Learner ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/xgboost_linear_learner_tabular/Amazon_Tabular_Classification_XGBoost_LinearLearner.ipynb)<br />[Pengantar JumpStart - Klasifikasi Tabel - Peserta AutoGluon ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/autogluon_tabular/Amazon_Tabular_Classification_AutoGluon.ipynb)<br />[Pengantar JumpStart - Klasifikasi Tabel - Peserta TabTransformer ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/tabtransformer_tabular/Amazon_Tabular_Classification_TabTransformer.ipynb) | 
| Regresi tabular  | Ya  | Ya  | LightGBM,, XGBoost CatBoost,,, Pembelajar Linear AutoGluon-Tabular TabTransformer | [Pengantar JumpStart - Regresi Tabular - LightGBM, CatBoost ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/lightgbm_catboost_tabular/Amazon_Tabular_Regression_LightGBM_CatBoost.ipynb)<br />[Pengantar JumpStart - Regresi Tabular - XGBoost, Pembelajar Linear ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/xgboost_linear_learner_tabular/Amazon_Tabular_Regression_XGBoost_LinearLearner.ipynb)<br />[Pengantar JumpStart - Regresi Tabular - Peserta AutoGluon ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/autogluon_tabular/Amazon_Tabular_Regression_AutoGluon.ipynb)<br />[Pengantar JumpStart - Regresi Tabular - Peserta TabTransformer ](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/tabtransformer_tabular/Amazon_Tabular_Regression_TabTransformer.ipynb) |