word_ids=token.convert_tokens_to_ids(tokens) word_id_list.append(word_ids) returnword_id_list # 初始化BERT model=modeling.BertModel( config=bert_config, is_training=False, input_ids=input_ids, input_mask=input_mask, token_type_ids=segment_ids, use_one_hot_embeddings=False ) # 加载BERT...
Expected behavior I would expect foroptimumto mirror thetransformersbehaviour wheretoken_type_idsis set totorch.zeros(input_ids.shape, ...)if it's not explicitly provided. See here for that implementation intransformers:https://github.com/huggingface/transformers/blob/4de1bdbf637fe6411c104c62ab385...
What is the recommended way to programmatically determine whether or not a model accepts the token_type_id parameter in the latest version of transformers?Collaborator sgugger commented Jan 14, 2023 You can just inspect its signature with the inspect module.amaiya...
使用paddle.io.DataLoader接口多线程异步加载数据。 ignore_label = -1batchify_fn = lambda samples, fn=Tuple( Pad(axis=0, pad_val=tokenizer.pad_token_id), # input_ids Pad(axis=0, pad_val=tokenizer.pad_token_type_id), # token_type_ids Stack(), # seq_len Pad(axis=0, pad_val=ignore_...
var configuration = new Configuration(modelPath, numberOfTokens: 5) { HasTokenTypeIds = false }; You can use Netron to check the shape of the input/output of your ONNX model. Once provided your model, select the input_ids node on the pane, and check the model properties. If your mode...