Skip to main content
Ctrl+K

PaddleNLP documentation

Model Library List

  • Introduction to Popular Models
  • Model Library List

Quick Start

  • Installation
  • Text Generation
  • Quick Training
  • Quick Inference

Paddle LLM Training

  • Paddle LLM Main Documentation
  • LLM - Pre-training Documentation
  • LLM - Fine-tuning Documentation
  • LLM - DPO Documentation
  • LLM - RLHF Documentation
  • Model Merging Documentation

Paddle LLM Inference

  • Docker Deployment - Quick Start Guide
  • LLM Inference Tutorial
    • Operator Installation
    • Large Model Inference Tutorial
    • Static Graph High-Performance Deployment Pipeline
  • Practical Optimization
    • Best Practices for High-Performance Inference
    • Speculative Decoding Tutorial
  • Static Graph Model List
  • Inference Quantization Tutorial for Various Models
    • LLaMA
    • Qwen
    • DeepSeek
    • Mixtral
  • Heterogeneous Device Inference
    • Running llama2-7b Model on XPU with PaddleNLP
    • Running llama2-13b Model on NPU with PaddleNLP
    • Haiguang K100
    • Suiyuan GCU
    • Taichu SDAA
    • X86 CPU
  • LLM - Quantization Tutorial

PaddleNLP Toolkit

  • PaddleNLP One-Stop Prediction: Taskflow API
  • Pre-trained Word Embeddings

PaddleNLP Tutorials

  • Transformer Pre-trained Model
    • ALBERT
    • BERT
    • BigBird
    • Blenderbot
    • Blenderbot-Small
    • ChineseBert
    • ConvBert
    • CTRL
    • Deberta
    • ERNIE-CTM
    • ERNIE-M
    • Funnel
    • GPT
    • LayoutLM
    • LayoutLMV2
    • LayoutXLM
    • Luke
    • MobileBert
    • PPMiniLM
    • ProphetNet
    • Reformer
    • RemBert
    • RoBERTa
    • RoFormer
    • UnifiedTransformer
    • UNIMO
    • XLNet
  • Trainer API Training Tutorial
  • Dialogue Template Tutorial
  • Multi-Turn Dialogue Fine-Tuning Tutorial
  • Chinese Sentiment Analysis Tutorial
  • Model Compression Tutorial
  • Data Distillation Tutorial
  • Torch2Paddle Weight Conversion Tutorial

Evaluation Metrics

  • Evaluation Metrics

Practical Tutorials

  • AI Studio Notebook

Advanced Guide

  • Model Compression
    • Introduction to Model Compression
      • 3. Data Augmentation Introduction
      • Using DynaBERT’s Strategy to Compress BERT
    • 3. Data Augmentation Introduction
    • Using DynaBERT’s Strategy to Compress BERT
  • Large-Scale Distributed Training

Community Collaboration

  • How to Contribute Models
    • Model Format Conversion
    • Contribute Pre-trained Model Weights
    • Contribute New Models
    • Precision Alignment
  • How to Contribute Datasets
    • Sharing Your Dataset
    • Creating DatasetBuilder
  • How to Contribute Documentation Examples
  • How to Join Interest Groups

FAQ

  • PaddleNLP Frequently Asked Questions (Continuously Updated)

API Reference

  • paddlenlp.data
    • collate
    • data_collator
    • sampler
    • tokenizer
    • vocab
  • paddlenlp.datasets
    • dataset
  • paddlenlp.layers
    • crf
    • sequence
    • tcn
  • paddlenlp.losses
    • rdrop
  • paddlenlp.metrics
    • bleu
    • chunk
    • distinct
    • dureader
    • glue
    • perplexity
    • rouge
    • sighan
    • span
    • squad
    • utils
  • paddlenlp.ops
    • distributed
      • utils
        • random
        • topo
      • parallel
    • fast_transformer
      • transformer
        • decoder
        • decoding
        • encoder
        • fast_transformer
    • optimizer
      • adamwdl
      • ema
    • einsum
    • ext_utils
  • paddlenlp.seq2vec
    • encoder
  • paddlenlp.taskflow
    • models
      • dependency_parsing_model
      • information_extraction_model
      • lexical_analysis_model
      • sentiment_analysis_model
      • text_correction_model
    • code_generation
    • dependency_parsing
    • dialogue
    • information_extraction
    • knowledge_mining
    • lexical_analysis
    • named_entity_recognition
    • poetry_generation
    • pos_tagging
    • question_answering
    • sentiment_analysis
    • task
    • taskflow
    • text_to_image
    • text_correction
    • text_generation
    • text_similarity
    • utils
    • word_segmentation
  • paddlenlp.trainer
    • utils
      • helper
    • argparser
    • integrations
    • trainer_base
    • trainer_callback
    • trainer_utils
    • training_args
  • paddlenlp.transformers
    • albert
      • modeling
      • tokenizer
    • artist
      • modeling
      • tokenizer
    • auto
      • modeling
      • tokenizer
    • bart
      • modeling
      • tokenizer
    • bert
      • modeling
      • tokenizer
    • bert_japanese
      • tokenizer
    • bigbird
      • modeling
      • tokenizer
    • blenderbot
      • modeling
      • tokenizer
    • blenderbot_small
      • modeling
      • tokenizer
    • chinesebert
      • modeling
      • tokenizer
    • codegen
      • modeling
      • tokenizer
    • convbert
      • modeling
      • tokenizer
    • ctrl
      • modeling
      • tokenizer
    • dallebart
      • modeling
      • tokenizer
    • deberta
      • modeling
      • tokenizer
    • deberta_v2
      • modeling
      • tokenizer
    • distilbert
      • modeling
      • tokenizer
    • electra
      • modeling
      • tokenizer
    • ernie
      • modeling
      • tokenizer
    • ernie_ctm
      • modeling
      • tokenizer
    • ernie_doc
      • modeling
      • tokenizer
    • ernie_gen
      • modeling
    • ernie_gram
      • matching_param_name
      • modeling
      • tokenizer
    • ernie_m
      • modeling
      • tokenizer
    • fnet
      • modeling
      • tokenizer
    • funnel
      • modeling
      • tokenizer
    • gau_alpha
      • modeling
      • tokenizer
    • gpt
      • modeling
      • tokenizer
    • layoutlm
      • modeling
      • tokenizer
    • layoutlmv2
      • modeling
      • tokenizer
    • layoutxlm
      • modeling
      • tokenizer
      • visual_backbone
    • luke
      • modeling
      • tokenizer
    • mbart
      • modeling
      • tokenizer
    • megatronbert
      • modeling
      • tokenizer
    • mobilebert
      • modeling
      • tokenizer
    • mpnet
      • modeling
      • tokenizer
    • nezha
      • modeling
      • tokenizer
    • opt
      • modeling
    • ppminilm
      • modeling
      • tokenizer
    • prophetnet
      • modeling
      • tokenizer
    • reformer
      • modeling
      • tokenizer
    • rembert
      • modeling
      • tokenizer
    • roberta
      • modeling
      • tokenizer
    • roformer
      • modeling
      • tokenizer
    • roformerv2
      • modeling
      • tokenizer
    • semantic_search
      • modeling
    • skep
      • modeling
      • tokenizer
    • squeezebert
      • modeling
      • tokenizer
    • t5
      • modeling
      • tokenizer
    • tinybert
      • modeling
      • tokenizer
    • transformer
      • modeling
    • unified_transformer
      • convert
      • modeling
      • tokenizer
    • unimo
      • modeling
      • tokenizer
    • xlm
      • modeling
      • tokenizer
    • xlnet
      • modeling
      • tokenizer
    • attention_utils
    • convert_slow_tokenizer
    • distill_utils
    • export
    • generation_utils
    • model_outputs
    • model_utils
    • optimization
    • sentencepiece_model_pb2
    • tokenizer_utils
    • tokenizer_utils_base
    • tokenizer_utils_fast
    • utils
  • paddlenlp.utils
    • batch_sampler
    • downloader
    • env
    • file_lock
    • import_utils
    • log
    • profiler
    • tools

Python Module Index

p
 
p
- paddlenlp
    paddlenlp.data.collate
    paddlenlp.utils.batch_sampler
    paddlenlp.utils.env
    paddlenlp.utils.import_utils
    paddlenlp.utils.log
    paddlenlp.utils.tools

By PaddleNLP

© Copyright 2024, PaddleNLP.