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- sections:
- local: index
title: ๐Ÿค— Transformers
- local: quicktour
title: ๋‘˜๋Ÿฌ๋ณด๊ธฐ
- local: installation
title: ์„ค์น˜๋ฐฉ๋ฒ•
title: ์‹œ์ž‘ํ•˜๊ธฐ
- sections:
- local: pipeline_tutorial
title: ์ถ”๋ก ์„ ์œ„ํ•œ Pipeline
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Pipelines for inference
- local: autoclass_tutorial
title: ์ž๋™ ํด๋ž˜์Šค๋กœ ์‚ฌ์ „ ํ•™์Šต๋œ ์ธ์Šคํ„ด์Šค ๋กœ๋“œํ•˜๊ธฐ
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Preprocess
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Fine-tune a pretrained model
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Distributed training with ๐Ÿค— Accelerate
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Share a model
title: (๋ฒˆ์—ญ์ค‘) ํŠœํ† ๋ฆฌ์–ผ
- sections:
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Create a custom architecture
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Sharing custom models
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Train with a script
- local: sagemaker
title: Amazon SageMaker์—์„œ ํ•™์Šต ์‹คํ–‰ํ•˜๊ธฐ
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Converting from TensorFlow checkpoints
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Export to ONNX
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Export to TorchScript
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Troubleshoot
title: (๋ฒˆ์—ญ์ค‘) ์ผ๋ฐ˜์ ์ธ ์‚ฌ์šฉ๋ฐฉ๋ฒ•
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Use tokenizers from ๐Ÿค— Tokenizers
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Inference for multilingual models
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Text generation strategies
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Text classification
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Token classification
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Question answering
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Causal language modeling
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Masked language modeling
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Translation
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Summarization
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Multiple choice
title: (๋ฒˆ์—ญ์ค‘) ํƒœ์Šคํฌ๋ณ„ ๊ฐ€์ด๋“œ
isExpanded: false
title: (๋ฒˆ์—ญ์ค‘) ์ž์—ฐ์–ด์ฒ˜๋ฆฌ
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Audio classification
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Automatic speech recognition
title: (๋ฒˆ์—ญ์ค‘) ์˜ค๋””์˜ค
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Image classification
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Semantic segmentation
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Video classification
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Object detection
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Zero-shot object detection
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Zero-shot image classification
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Depth estimation
title: (๋ฒˆ์—ญ์ค‘) ์ปดํ“จํ„ฐ ๋น„์ „
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Image captioning
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Document Question Answering
title: (๋ฒˆ์—ญ์ค‘) ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Overview
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Training on one GPU
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Training on many GPUs
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Training on CPU
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Training on many CPUs
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Training on TPUs
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Training on TPU with TensorFlow
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Training on Specialized Hardware
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Inference on CPU
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Inference on one GPU
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Inference on many GPUs
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Inference on Specialized Hardware
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Custom hardware for training
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Instantiating a big model
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Debugging
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Hyperparameter Search using Trainer API
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XLA Integration for TensorFlow Models
title: (๋ฒˆ์—ญ์ค‘) ์„ฑ๋Šฅ ๋ฐ ํ™•์žฅ์„ฑ
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) How to contribute to transformers?
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) How to add a model to ๐Ÿค— Transformers?
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) How to convert a ๐Ÿค— Transformers model to TensorFlow?
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) How to add a pipeline to ๐Ÿค— Transformers?
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Testing
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Checks on a Pull Request
title: (๋ฒˆ์—ญ์ค‘) ๊ธฐ์—ฌํ•˜๊ธฐ
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ๐Ÿค— Transformers Notebooks
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Community resources
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Benchmarks
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Migrating from previous packages
title: (๋ฒˆ์—ญ์ค‘) How-to ๊ฐ€์ด๋“œ
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Philosophy
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Glossary
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) What ๐Ÿค— Transformers can do
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) How ๐Ÿค— Transformers solve tasks
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) The Transformer model family
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Summary of the tokenizers
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Attention mechanisms
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Padding and truncation
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BERTology
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Perplexity of fixed-length models
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Pipelines for webserver inference
title: (๋ฒˆ์—ญ์ค‘) ๊ฐœ๋… ๊ฐ€์ด๋“œ
- sections:
- sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Auto Classes
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Callbacks
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Configuration
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Data Collator
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Keras callbacks
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Logging
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Models
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Text Generation
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ONNX
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Optimization
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Model outputs
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Pipelines
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Processors
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Quantization
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Tokenizer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Trainer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DeepSpeed Integration
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Feature Extractor
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Image Processor
title: (๋ฒˆ์—ญ์ค‘) ๋ฉ”์ธ ํด๋ž˜์Šค
- sections:
- isExpanded: false
sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ALBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BART
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BARThez
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BARTpho
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BertGeneration
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BertJapanese
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Bertweet
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BigBird
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BigBirdPegasus
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BioGpt
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Blenderbot
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Blenderbot Small
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BLOOM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BORT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ByT5
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) CamemBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) CANINE
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) CodeGen
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ConvBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) CPM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) CTRL
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DeBERTa
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DeBERTa-v2
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DialoGPT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DistilBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DPR
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ELECTRA
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Encoder Decoder Models
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ERNIE
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ErnieM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ESM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) FLAN-T5
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) FLAN-UL2
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) FlauBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) FNet
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) FSMT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Funnel Transformer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPT Neo
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPT NeoX
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPT NeoX Japanese
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPT-J
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPT2
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPTSAN Japanese
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GPTSw3
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) HerBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) I-BERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Jukebox
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) LED
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) LLaMA
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Longformer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) LongT5
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) LUKE
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) M2M100
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MarianMT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MarkupLM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MBart and MBart-50
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MEGA
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MegatronBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MegatronGPT2
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) mLUKE
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MobileBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MPNet
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MT5
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MVP
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) NEZHA
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) NLLB
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) NLLB-MoE
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Nystrรถmformer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) OPT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Pegasus
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) PEGASUS-X
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) PhoBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) PLBart
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ProphetNet
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) QDQBert
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) RAG
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) REALM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Reformer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) RemBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) RetriBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) RoBERTa
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) RoBERTa-PreLayerNorm
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) RoCBert
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) RoFormer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Splinter
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) SqueezeBERT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) SwitchTransformers
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) T5
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) T5v1.1
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) TAPEX
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Transformer XL
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) UL2
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) X-MOD
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XGLM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XLM
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XLM-ProphetNet
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XLM-RoBERTa
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XLM-RoBERTa-XL
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XLM-V
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) XLNet
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) YOSO
title: (๋ฒˆ์—ญ์ค‘) ํ…์ŠคํŠธ ๋ชจ๋ธ
- isExpanded: false
sections:
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BEiT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) BiT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Conditional DETR
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ConvNeXT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ConvNeXTV2
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) CvT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Deformable DETR
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DeiT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DETA
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DETR
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DiNAT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DiT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) DPT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) EfficientFormer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) EfficientNet
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) GLPN
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) ImageGPT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) LeViT
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) Mask2Former
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MaskFormer
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MobileNetV1
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MobileNetV2
- local: in_translation
title: (๋ฒˆ์—ญ์ค‘) MobileViT
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title: (๋ฒˆ์—ญ์ค‘) NAT
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title: (๋ฒˆ์—ญ์ค‘) PoolFormer
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title: (๋ฒˆ์—ญ์ค‘) RegNet
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title: (๋ฒˆ์—ญ์ค‘) ResNet
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title: (๋ฒˆ์—ญ์ค‘) SegFormer
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title: (๋ฒˆ์—ญ์ค‘) Swin Transformer
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title: (๋ฒˆ์—ญ์ค‘) Swin Transformer V2
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title: (๋ฒˆ์—ญ์ค‘) Swin2SR
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title: (๋ฒˆ์—ญ์ค‘) Table Transformer
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title: (๋ฒˆ์—ญ์ค‘) TimeSformer
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title: (๋ฒˆ์—ญ์ค‘) UperNet
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title: (๋ฒˆ์—ญ์ค‘) VAN
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title: (๋ฒˆ์—ญ์ค‘) VideoMAE
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title: (๋ฒˆ์—ญ์ค‘) Vision Transformer (ViT)
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title: (๋ฒˆ์—ญ์ค‘) ViT Hybrid
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title: (๋ฒˆ์—ญ์ค‘) ViTMAE
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title: (๋ฒˆ์—ญ์ค‘) ViTMSN
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title: (๋ฒˆ์—ญ์ค‘) YOLOS
title: (๋ฒˆ์—ญ์ค‘) ๋น„์ „ ๋ชจ๋ธ
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sections:
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title: (๋ฒˆ์—ญ์ค‘) Audio Spectrogram Transformer
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title: (๋ฒˆ์—ญ์ค‘) CLAP
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title: (๋ฒˆ์—ญ์ค‘) Hubert
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title: (๋ฒˆ์—ญ์ค‘) MCTCT
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title: (๋ฒˆ์—ญ์ค‘) SEW
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title: (๋ฒˆ์—ญ์ค‘) SEW-D
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title: (๋ฒˆ์—ญ์ค‘) Speech2Text
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title: (๋ฒˆ์—ญ์ค‘) Speech2Text2
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title: (๋ฒˆ์—ญ์ค‘) SpeechT5
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title: (๋ฒˆ์—ญ์ค‘) UniSpeech
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title: (๋ฒˆ์—ญ์ค‘) UniSpeech-SAT
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title: (๋ฒˆ์—ญ์ค‘) Wav2Vec2
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title: (๋ฒˆ์—ญ์ค‘) Wav2Vec2-Conformer
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title: (๋ฒˆ์—ญ์ค‘) Wav2Vec2Phoneme
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title: (๋ฒˆ์—ญ์ค‘) WavLM
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title: (๋ฒˆ์—ญ์ค‘) Whisper
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title: (๋ฒˆ์—ญ์ค‘) XLS-R
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title: (๋ฒˆ์—ญ์ค‘) XLSR-Wav2Vec2
title: (๋ฒˆ์—ญ์ค‘) ์˜ค๋””์˜ค ๋ชจ๋ธ
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sections:
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title: (๋ฒˆ์—ญ์ค‘) ALIGN
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title: (๋ฒˆ์—ญ์ค‘) AltCLIP
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title: (๋ฒˆ์—ญ์ค‘) BLIP
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title: (๋ฒˆ์—ญ์ค‘) BLIP-2
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title: (๋ฒˆ์—ญ์ค‘) BridgeTower
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title: (๋ฒˆ์—ญ์ค‘) Chinese-CLIP
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title: (๋ฒˆ์—ญ์ค‘) CLIP
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title: (๋ฒˆ์—ญ์ค‘) CLIPSeg
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title: (๋ฒˆ์—ญ์ค‘) Data2Vec
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title: (๋ฒˆ์—ญ์ค‘) Donut
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title: (๋ฒˆ์—ญ์ค‘) FLAVA
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title: (๋ฒˆ์—ญ์ค‘) GIT
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title: (๋ฒˆ์—ญ์ค‘) GroupViT
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title: (๋ฒˆ์—ญ์ค‘) LayoutLM
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title: (๋ฒˆ์—ญ์ค‘) LayoutLMV2
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title: (๋ฒˆ์—ญ์ค‘) LayoutLMV3
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title: (๋ฒˆ์—ญ์ค‘) LayoutXLM
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title: (๋ฒˆ์—ญ์ค‘) LiLT
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title: (๋ฒˆ์—ญ์ค‘) LXMERT
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title: (๋ฒˆ์—ญ์ค‘) MGP-STR
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title: (๋ฒˆ์—ญ์ค‘) OneFormer
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title: (๋ฒˆ์—ญ์ค‘) OWL-ViT
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title: (๋ฒˆ์—ญ์ค‘) Perceiver
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title: (๋ฒˆ์—ญ์ค‘) Pix2Struct
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title: (๋ฒˆ์—ญ์ค‘) Speech Encoder Decoder Models
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title: (๋ฒˆ์—ญ์ค‘) TAPAS
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title: (๋ฒˆ์—ญ์ค‘) TrOCR
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title: (๋ฒˆ์—ญ์ค‘) TVLT
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title: (๋ฒˆ์—ญ์ค‘) ViLT
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title: (๋ฒˆ์—ญ์ค‘) Vision Encoder Decoder Models
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title: (๋ฒˆ์—ญ์ค‘) Vision Text Dual Encoder
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title: (๋ฒˆ์—ญ์ค‘) VisualBERT
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title: (๋ฒˆ์—ญ์ค‘) X-CLIP
title: (๋ฒˆ์—ญ์ค‘) ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ ๋ชจ๋ธ
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sections:
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title: (๋ฒˆ์—ญ์ค‘) Decision Transformer
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title: (๋ฒˆ์—ญ์ค‘) Trajectory Transformer
title: (๋ฒˆ์—ญ์ค‘) ๊ฐ•ํ™”ํ•™์Šต ๋ชจ๋ธ
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sections:
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title: (๋ฒˆ์—ญ์ค‘) Informer
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title: (๋ฒˆ์—ญ์ค‘) Time Series Transformer
title: (๋ฒˆ์—ญ์ค‘) ์‹œ๊ณ„์—ด ๋ชจ๋ธ
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sections:
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title: (๋ฒˆ์—ญ์ค‘) Graphormer
title: (๋ฒˆ์—ญ์ค‘) Graph models
title: (๋ฒˆ์—ญ์ค‘) ๋ชจ๋ธ
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title: (๋ฒˆ์—ญ์ค‘) Custom Layers and Utilities
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title: (๋ฒˆ์—ญ์ค‘) Utilities for pipelines
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title: (๋ฒˆ์—ญ์ค‘) Utilities for Tokenizers
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title: (๋ฒˆ์—ญ์ค‘) Utilities for Trainer
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title: (๋ฒˆ์—ญ์ค‘) Utilities for Generation
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title: (๋ฒˆ์—ญ์ค‘) Utilities for Image Processors
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title: (๋ฒˆ์—ญ์ค‘) Utilities for Audio processing
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title: (๋ฒˆ์—ญ์ค‘) General Utilities
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title: (๋ฒˆ์—ญ์ค‘) Utilities for Time Series
title: (๋ฒˆ์—ญ์ค‘) Internal Helpers
title: (๋ฒˆ์—ญ์ค‘) API