[文献阅读]——AMBERT: A PRE-TRAINED LANGUAGE MODEL WITH MULTI-GRAINED TOKENIZATION - Code World

[文献阅读]——AMBERT: A PRE-TRAINED LANGUAGE MODEL WITH MULTI-GRAINED TOKENIZATION

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[文献阅读]——AMBERT: A PRE-TRAINED LANGUAGE MODEL WITH MULTI-GRAINED TOKENIZATION

Pre-trained language model (a)

Pre-trained language model (two) NLP in

LLM: finetune pre-trained language model

GLM: an autoregressive gap-filling multi-task pre-trained language model

Application of pre-trained language model in Netease Yanxuan

Cross talk on basic knowledge of pre-trained language model

DAMO Academy SPACE dialogue large model: pre-trained language model, pre-trained dialogue model, knowledge injection

Model comparison and implementation result analysis in the pre-trained language model (graphic explanation)

Explanation of context-aware language representation learning in pre-trained language model (graphic explanation)

Cross-modal retrieval paper reading: Multi-Grained Vision Language Pre-Training: Aligning Texts with VisualConcepts(X-VLM)

zz from Word Embedding to Bert model - the history of pre-trained technical development of natural language processing

[Natural Language Processing (NLP)] Machine Reading Comprehension Based on Pre-trained Model

[Self-attention mechanism must learn] BERT class pre-trained language model (including Python examples)

PaddlePaddle pre-trained model collection

Save and read the pre-trained bert model

Natural language processing-load the pre-trained fastText model using facebook wiki-news-300d-1M.vec

X2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks paper notes

Overview of pre-trained language models (3) - the actual use of pre-trained language models

AMBERT! Beyond BERT! Multi-granularity token pre-training language model

Natural language processing--gensim.word2vec module loads and uses Google’s pre-trained model googlenews-vectors-negative300.bin.gz

pytorch loads some parameters of the pre-trained model

The storage location of the pre-trained model weights downloaded by tensorflow

The problem that mmdetection and mmsegmentation cannot load the pre-trained model

Loading mechanism pytorch version of pre-trained model

[webAI] Tensorflow.js loads the pre-trained model

[webAI] Tensorflow.js loads the pre-trained model

Load the pre-trained model after modifying the network structure

pytorch cv comes with a pre-trained model and then fine-tunes it

[NLP] Get Embedding from the pre-trained model

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