Spaces:
Runtime error
Runtime error
File size: 4,299 Bytes
b37c16f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 |
- sections:
- local: index
title: 🤗 Transformers 简介
- local: quicktour
title: 快速上手
- local: installation
title: 安装
title: 开始使用
- sections:
- local: pipeline_tutorial
title: 使用pipelines进行推理
- local: autoclass_tutorial
title: 使用AutoClass编写可移植的代码
- local: preprocessing
title: 预处理数据
- local: training
title: 微调预训练模型
- local: run_scripts
title: 通过脚本训练模型
- local: accelerate
title: 使用🤗Accelerate进行分布式训练
- local: peft
title: 使用🤗 PEFT加载和训练adapters
- local: model_sharing
title: 分享您的模型
- local: transformers_agents
title: agents教程
- local: llm_tutorial
title: 使用LLMs进行生成
title: 教程
- sections:
- isExpanded: false
sections:
- local: tasks/asr
title: 自动语音识别
- sections:
- local: fast_tokenizers
title: 使用 🤗 Tokenizers 中的分词器
- local: multilingual
title: 使用多语言模型进行推理
- local: create_a_model
title: 使用特定于模型的 API
- local: custom_models
title: 共享自定义模型
- local: chat_templating
title: 聊天模型的模板
- local: serialization
title: 导出为 ONNX
- local: tflite
title: 导出为 TFLite
- local: torchscript
title: 导出为 TorchScript
title: 开发者指南
- sections:
- local: performance
title: 综述
- sections:
- local: fsdp
title: 完全分片数据并行
- local: perf_hardware
title: 用于训练的定制硬件
- local: hpo_train
title: 使用Trainer API 进行超参数搜索
title: 高效训练技术
- local: big_models
title: 实例化大模型
- local: debugging
title: 问题定位及解决
- local: tf_xla
title: TensorFlow模型的XLA集成
- local: perf_torch_compile
title: 使用 `torch.compile()` 优化推理
title: 性能和可扩展性
- sections:
- local: contributing
title: 如何为 🤗 Transformers 做贡献？
- local: add_new_pipeline
title: 如何将流水线添加到 🤗 Transformers？
title: 贡献
- sections:
- local: task_summary
title: 🤗Transformers能做什么
- local: tokenizer_summary
title: 分词器的摘要
title: 概念指南
- sections:
- sections:
- local: main_classes/agent
title: Agents和工具
- local: main_classes/callback
title: Callbacks
- local: main_classes/configuration
title: Configuration
- local: main_classes/data_collator
title: Data Collator
- local: main_classes/keras_callbacks
title: Keras callbacks
- local: main_classes/logging
title: Logging
- local: main_classes/model
title: 模型
- local: main_classes/text_generation
title: 文本生成
- local: main_classes/onnx
title: ONNX
- local: main_classes/optimizer_schedules
title: Optimization
- local: main_classes/output
title: 模型输出
- local: main_classes/pipelines
title: Pipelines
- local: main_classes/processors
title: Processors
- local: main_classes/quantization
title: Quantization
- local: main_classes/tokenizer
title: Tokenizer
- local: main_classes/trainer
title: Trainer
- local: main_classes/deepspeed
title: DeepSpeed集成
- local: main_classes/feature_extractor
title: Feature Extractor
- local: main_classes/image_processor
title: Image Processor
title: 主要类
- sections:
- local: internal/modeling_utils
title: 自定义层和工具
- local: internal/pipelines_utils
title: pipelines工具
- local: internal/tokenization_utils
title: Tokenizers工具
- local: internal/trainer_utils
title: 训练器工具
- local: internal/generation_utils
title: 生成工具
- local: internal/image_processing_utils
title: 图像处理工具
- local: internal/audio_utils
title: 音频处理工具
- local: internal/file_utils
title: 通用工具
- local: internal/time_series_utils
title: 时序数据工具
title: 内部辅助工具
title: 应用程序接口 (API)
|