torch.nn.Embedding.from_pretrained 参数详解 torch.nn.Embedding.from_pretrained(embeddings, freeze=True, padding_idx=None, max_norm=None, norm_type=2.0, scale_grad_by_freq=False, sparse=False)embeddings: 包含嵌入权重的FloatTensor,第一个维度为num_embeddings,第二个维度为embedding_dimfreeze:若为True,...
本文简要介绍python语言中 torch.nn.Embedding.from_pretrained 的用法。 用法: classmethod from_pretrained(embeddings, freeze=True, padding_idx=None, max_norm=None, norm_type=2.0, scale_grad_by_freq=False, sparse=False) 参数: embeddings(Tensor) -FloatTensor 包含嵌入的权重。第一个维度作为 num_...
Embedding模块from_pretrained加载预训练好的词向量Embedding 模块作⽤：将词的索引转化为词对应的词向量，需要我们设置的两个参数：词汇表的⼤⼩和词嵌⼊的维度。num_embeddings (int): size of the dictionary of embeddings embedding_dim (int): the size of each embedding vector >>> # an Embedding ...
🚀 The feature, motivation and pitch Hi, currently nn.Embedding.from_pretrained only accept float tensor, if long tensor is provided, it will raise RuntimeError: Only Tensors of floating point and complex dtype can require gradients but i...
Learn more OK, Got it.AbhinavJhanwar · 3y ago· 1,219 views arrow_drop_up1 Copy & Edit12 more_vert Pretrained_Embedding-Keras-LSTM-Classification Copied from Bongo (+121,-51)NotebookInputOutputLogsComments (0)comment 0 Comments Hotness ...
Based on GeoCorpus, we also introduce a Chinese pretrained language representation model in the geological domain (CnGeoPLM). The model utilizes the generic BERT to complete parameter initialization and combines the GeoCorpus for the second stage of training. We evaluate and...
publicenumWordEmbeddingEstimator.PretrainedModelKind Наследование Enum WordEmbeddingEstimator.PretrainedModelKind Поля FastTextWikipedia300D8 Встраиваниемногомерныхслов FastText 300, обученныхвВикипедии. ...
torch.nn.Embedding中的用from_pretrained读取预训练参数,会导致padding_idx梯度更新,目前还没有注意到解决方案[允悲]
BUG: TypeError: embedding(): argument 'indices' (position 2) must be Tensor, not PreTrainedTokenizerFast Issue Description Hello, I am learning how to use shap to explainllama3.2; however, my program reported an error. My environment works fine with the multi-class example in the docs w/ ...
publicenumWordEmbeddingEstimator.PretrainedModelKind Ereditarietà Enum WordEmbeddingEstimator.PretrainedModelKind Campi FastTextWikipedia300D8 FastText 300 dimensional word embeddings trained on Wikipedia. GloVe100D1 Incorporamenti di parole dimensionali GloVe 100. ...