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Examples: ``` from transformers import BertTokenizer, BertModel tokenizer = BertTokenizer.from_pretrained('uer/chinese_roberta_L-8_H-512') model = BertModel.from_pretrained("u…
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Examples: ``` from transformers import BertTokenizer, BertModel tokenizer = BertTokenizer.from_pretrained('uer/chinese_roberta_L-8_H-512') model = BertModel.from_pretrained("u…
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通过将列转换为字符串,然后将其转换为列表,然后将其拆分为训练段和测试段来修复它。
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> train\_texts = train['text'].astype(str).values.to\_list()
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To tokenize text data using the HuggingFace tokenizer, you can use the `tokenizer.encode` or `tokenizer.encode_plus` methods, which take a string of text as input and return a lis…
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To tokenize text data using the HuggingFace tokenizer, you can use the `Tokenizer` class provided by the transformers library. Here is an example: ``` from transformers import …