知识蒸馏(knowledge distil)初步,模型结构及损失函数的设计

· BERT

(knowledge distil) huggingface training pipeline

· BERT

GPT2 sampling (top-k,top-p (neculeus sampling)

· BERT

T5整体介绍

· BERT

构建 TransfomerEncoderLayer (FFN和LayerNorm,Skip Connection)

· BERT

构建TransformerDecoderLayer(FFN与Masked MultiHeadAttention)

· BERT

AttentionHead 和 MultiHeadAttention

· BERT

GPT2 decoding (greedy search,beam search)

· BERT

GPT2整体介绍(tokenizer,model forward)

· BERT

transformer 架构 scaled dot product self attention(qkv)

· BERT

fine tune transformers 文本分类情感分析

· BERT

masking机制、bert head和BertForMaskedLM

· BERT

bert pooler output 与 bert head

· BERT

outline

· BERT

解析bertmodel的output(last_hidden_state,pooler_output,hidden_state

· BERT

bertencoder self attention 计算细节及计算过程

· BERT, 注意力机制

BertTokenizer subword,wordpiece 如何处理数字等长尾单词

· BERT

bert embedding,word embedding,pooler embedding

· BERT

bert model architecture 模型架构初探

· BERT

hugging face tokenizer

· BERT, HuggingFace

tokenizer_encoder_plus_token_type_ids

· BERT

torch.no_grad() VS requires_grad=False

· BERT, PyTorch