选择一个训练好的模型导入训练好的模型和词汇在集群中部署模型试运行在本文中,我们将主要展示,如何将一个中文的NER...但很不幸的是,目前Elasticsearch仅仅兼容测试了以下几种英文的模型:BERT base NERDistilBERT base cased finetuned conll03 EnglishDistilRoBERTa...将模型导入到elastic
# 加载用于Token分类的BERT模型 model = BertForTokenClassification.from_pretrained('dbmdz/bert-large-cased-finetuned-conll03-english') # 输入数据 inputs = tokenizer("My name is John.", return_tensors="pt") # 前向传播 outputs = model(**inputs) logits = outputs.logits 文本摘要 BERT也可以...
# 加载用于Token分类的BERT模型 model=BertForTokenClassification.from_pretrained('dbmdz/bert-large-cased-finetuned-conll03-english')# 输入数据 inputs=tokenizer("My name is John.",return_tensors="pt")# 前向传播 outputs=model(**inputs)logits=outputs.logits 文本摘要 BERT也可以用于生成文本摘要,即...
tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-large-cased-finetuned-conll03-english") model = BertForTokenClassification.from_pretrained("dbmdz/bert-large-cased-finetuned-conll03-english") inputs = tokenizer( "HuggingFace is a company based in Paris and New York", add_special_tokens=...
model = BertForTokenClassification.from_pretrained('dbmdz/bert-large-cased-finetuned-conll03-english') # 输入数据 inputs = tokenizer("My name is John.", return_tensors="pt") # 前向传播 outputs = model(**inputs) logits = outputs.logits ...
fromtransformersimportBertForTokenClassification# 加载用于Token分类的BERT模型model=BertForTokenClassification.from_pretrained('dbmdz/bert-large-cased-finetuned-conll03-english')# 输入数据inputs=tokenizer("My name is John.",return_tensors="pt")# 前向传播outputs=model(**inputs)logits=outputs.logits ...
fromtransformersimportBertForTokenClassification# 加载用于Token分类的BERT模型model = BertForTokenClassification.from_pretrained('dbmdz/bert-large-cased-finetuned-conll03-english')# 输入数据inputs = tokenizer("My name is John.", return_tensors="pt")# 前向传播outputs = model(**inputs) ...
model = BertForTokenClassification.from_pretrained("dbmdz/bert-large-cased-finetuned-conll03-english") tokenizer = BertTokenizer.from_pretrained("bert-base-cased") label_list = [ "O", # Outside of a named entity "B-MISC", # Beginning of a miscellaneous entity right after another miscellane...
from transformers import BertTokenizer, BertForTokenClassification from transformers import pipeline # 加载预训练的BERT模型和分词器 tokenizer = BertTokenizer.from_pretrained('bert-base-cased') model = BertForTokenClassification.from_pretrained('dbmdz/bert-large-cased-finetuned-conll03-english') # 创建...
from transformers import BertForTokenClassification, BertTokenizer import torch model = BertForTokenClassification.from_pretrained("dbmdz/bert-large-cased-finetuned-conll03-english") tokenizer = BertTokenizer.from_pretrained("bert-base-cased") label_list = [ "O", # Outside of a named entity "B...