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
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
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
Large-Scale Distributed Training

Community Collaboration

How to Contribute Models
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
paddlenlp.trainer
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
- ernie_m
  - modeling
  - tokenizer
- fnet
  - modeling
  - tokenizer
- funnel
  - modeling
  - tokenizer
- gau_alpha
  - modeling
  - tokenizer
- gpt
  - modeling
  - tokenizer
- layoutlm
  - modeling
  - tokenizer
- layoutlmv2
  - modeling
  - tokenizer
- layoutxlm
- 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
- 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

.rst

Practical Optimization

Practical Optimization#

Best Practices for High-Performance Inference
Speculative Decoding Tutorial

previous

High-Performance Deployment of Static Graphs

next

Best Practices for High-Performance Inference

By PaddleNLP

© Copyright 2024, PaddleNLP.