Transformers documentation
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(번역중) 튜토리얼
추론을 위한 Pipeline(번역중) Pipelines for inference자동 클래스로 사전 학습된 인스턴스 로드하기(번역중) Preprocess(번역중) Fine-tune a pretrained model(번역중) Distributed training with 🤗 Accelerate(번역중) Share a model
(번역중) How-to 가이드
(번역중) 일반적인 사용방법
(번역중) Create a custom architecture(번역중) Sharing custom models(번역중) Train with a scriptAmazon SageMaker에서 학습 실행하기(번역중) Converting from TensorFlow checkpoints(번역중) Export to ONNX(번역중) Export to TorchScript(번역중) Troubleshoot
(번역중) 자연어처리
(번역중) Use tokenizers from 🤗 Tokenizers(번역중) Inference for multilingual models(번역중) Text generation strategies
(번역중) 태스크별 가이드
(번역중) 오디오
(번역중) 컴퓨터 비전
(번역중) Image classification(번역중) Semantic segmentation(번역중) Video classification(번역중) Object detection(번역중) Zero-shot object detection(번역중) Zero-shot image classification(번역중) Depth estimation
(번역중) 멀티모달
(번역중) 성능 및 확장성
(번역중) Overview(번역중) Training on one GPU(번역중) Training on many GPUs(번역중) Training on CPU(번역중) Training on many CPUs(번역중) Training on TPUs(번역중) Training on TPU with TensorFlow(번역중) Training on Specialized Hardware(번역중) Inference on CPU(번역중) Inference on one GPU(번역중) Inference on many GPUs(번역중) Inference on Specialized Hardware(번역중) Custom hardware for training(번역중) Instantiating a big model(번역중) Debugging(번역중) Hyperparameter Search using Trainer API(번역중) XLA Integration for TensorFlow Models
(번역중) 기여하기
(번역중) How to contribute to transformers?(번역중) How to add a model to 🤗 Transformers?(번역중) How to convert a 🤗 Transformers model to TensorFlow?(번역중) How to add a pipeline to 🤗 Transformers?(번역중) Testing(번역중) Checks on a Pull Request
(번역중) 🤗 Transformers Notebooks(번역중) Community resources(번역중) Benchmarks(번역중) Migrating from previous packages(번역중) 개념 가이드
(번역중) Philosophy(번역중) Glossary(번역중) What 🤗 Transformers can do(번역중) How 🤗 Transformers solve tasks(번역중) The Transformer model family(번역중) Summary of the tokenizers(번역중) Attention mechanisms(번역중) Padding and truncation(번역중) BERTology(번역중) Perplexity of fixed-length models(번역중) Pipelines for webserver inference
(번역중) API
(번역중) 메인 클래스
(번역중) Auto Classes(번역중) Callbacks(번역중) Configuration(번역중) Data Collator(번역중) Keras callbacks(번역중) Logging(번역중) Models(번역중) Text Generation(번역중) ONNX(번역중) Optimization(번역중) Model outputs(번역중) Pipelines(번역중) Processors(번역중) Quantization(번역중) Tokenizer(번역중) Trainer(번역중) DeepSpeed Integration(번역중) Feature Extractor(번역중) Image Processor
(번역중) 모델
(번역중) 텍스트 모델
(번역중) ALBERT(번역중) BART(번역중) BARThez(번역중) BARTpho(번역중) BERT(번역중) BertGeneration(번역중) BertJapanese(번역중) Bertweet(번역중) BigBird(번역중) BigBirdPegasus(번역중) BioGpt(번역중) Blenderbot(번역중) Blenderbot Small(번역중) BLOOM(번역중) BORT(번역중) ByT5(번역중) CamemBERT(번역중) CANINE(번역중) CodeGen(번역중) ConvBERT(번역중) CPM(번역중) CTRL(번역중) DeBERTa(번역중) DeBERTa-v2(번역중) DialoGPT(번역중) DistilBERT(번역중) DPR(번역중) ELECTRA(번역중) Encoder Decoder Models(번역중) ERNIE(번역중) ErnieM(번역중) ESM(번역중) FLAN-T5(번역중) FLAN-UL2(번역중) FlauBERT(번역중) FNet(번역중) FSMT(번역중) Funnel Transformer(번역중) GPT(번역중) GPT Neo(번역중) GPT NeoX(번역중) GPT NeoX Japanese(번역중) GPT-J(번역중) GPT2(번역중) GPTSAN Japanese(번역중) GPTSw3(번역중) HerBERT(번역중) I-BERT(번역중) Jukebox(번역중) LED(번역중) LLaMA(번역중) Longformer(번역중) LongT5(번역중) LUKE(번역중) M2M100(번역중) MarianMT(번역중) MarkupLM(번역중) MBart and MBart-50(번역중) MEGA(번역중) MegatronBERT(번역중) MegatronGPT2(번역중) mLUKE(번역중) MobileBERT(번역중) MPNet(번역중) MT5(번역중) MVP(번역중) NEZHA(번역중) NLLB(번역중) NLLB-MoE(번역중) Nyströmformer(번역중) OPT(번역중) Pegasus(번역중) PEGASUS-X(번역중) PhoBERT(번역중) PLBart(번역중) ProphetNet(번역중) QDQBert(번역중) RAG(번역중) REALM(번역중) Reformer(번역중) RemBERT(번역중) RetriBERT(번역중) RoBERTa(번역중) RoBERTa-PreLayerNorm(번역중) RoCBert(번역중) RoFormer(번역중) Splinter(번역중) SqueezeBERT(번역중) SwitchTransformers(번역중) T5(번역중) T5v1.1(번역중) TAPEX(번역중) Transformer XL(번역중) UL2(번역중) X-MOD(번역중) XGLM(번역중) XLM(번역중) XLM-ProphetNet(번역중) XLM-RoBERTa(번역중) XLM-RoBERTa-XL(번역중) XLM-V(번역중) XLNet(번역중) YOSO
(번역중) 비전 모델
(번역중) BEiT(번역중) BiT(번역중) Conditional DETR(번역중) ConvNeXT(번역중) ConvNeXTV2(번역중) CvT(번역중) Deformable DETR(번역중) DeiT(번역중) DETA(번역중) DETR(번역중) DiNAT(번역중) DiT(번역중) DPT(번역중) EfficientFormer(번역중) EfficientNet(번역중) GLPN(번역중) ImageGPT(번역중) LeViT(번역중) Mask2Former(번역중) MaskFormer(번역중) MobileNetV1(번역중) MobileNetV2(번역중) MobileViT(번역중) NAT(번역중) PoolFormer(번역중) RegNet(번역중) ResNet(번역중) SegFormer(번역중) Swin Transformer(번역중) Swin Transformer V2(번역중) Swin2SR(번역중) Table Transformer(번역중) TimeSformer(번역중) UperNet(번역중) VAN(번역중) VideoMAE(번역중) Vision Transformer (ViT)(번역중) ViT Hybrid(번역중) ViTMAE(번역중) ViTMSN(번역중) YOLOS
(번역중) 오디오 모델
(번역중) Audio Spectrogram Transformer(번역중) CLAP(번역중) Hubert(번역중) MCTCT(번역중) SEW(번역중) SEW-D(번역중) Speech2Text(번역중) Speech2Text2(번역중) SpeechT5(번역중) UniSpeech(번역중) UniSpeech-SAT(번역중) Wav2Vec2(번역중) Wav2Vec2-Conformer(번역중) Wav2Vec2Phoneme(번역중) WavLM(번역중) Whisper(번역중) XLS-R(번역중) XLSR-Wav2Vec2
(번역중) 멀티모달 모델
(번역중) ALIGN(번역중) AltCLIP(번역중) BLIP(번역중) BLIP-2(번역중) BridgeTower(번역중) Chinese-CLIP(번역중) CLIP(번역중) CLIPSeg(번역중) Data2Vec(번역중) Donut(번역중) FLAVA(번역중) GIT(번역중) GroupViT(번역중) LayoutLM(번역중) LayoutLMV2(번역중) LayoutLMV3(번역중) LayoutXLM(번역중) LiLT(번역중) LXMERT(번역중) MGP-STR(번역중) OneFormer(번역중) OWL-ViT(번역중) Perceiver(번역중) Pix2Struct(번역중) Speech Encoder Decoder Models(번역중) TAPAS(번역중) TrOCR(번역중) TVLT(번역중) ViLT(번역중) Vision Encoder Decoder Models(번역중) Vision Text Dual Encoder(번역중) VisualBERT(번역중) X-CLIP
(번역중) 강화학습 모델
(번역중) 시계열 모델
(번역중) Graph models
(번역중) Internal Helpers
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