sentences= ["This is an example sentence","Each sentence is converted"] model= SentenceTransformer('/usr/local/zxx/huggingface_model/all-MiniLM-L6-v2') embeddings=model.encode(sentences)print(embeddings) 完结撒花~(实测,384维的向量 )
from langchain.vectorstores import Chroma local_model_path = "D:/www/pythonObj/my_langchain/pretrained_model/all-MiniLM-L6-v2" #使用huggingface托管的开源LLM来做嵌入,MiniLM-L6-v2是一个较小的LLM embedings = HuggingFaceBgeEmbeddings(model_name=local_model_path) text = [ "篮球是一项伟大的运动。
/modelee/all-MiniLM-L6-v2 Python Python 100.0% 取消 发行版 暂无发行版 all-MiniLM-L6-v2 开源评估指数 开源评估指数源自 OSS-Compass 评估体系,评估体系围绕以下三个维度对项目展开评估: 1. 开源生态 生产力:来评估开源项目输出软件制品和开源价值的能力。
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1. `pytorch_model.bin`:这是PyTorch框架的模型权重文件,包含了模型训练得到的参数。使用这个文件可以加载模型的权重到内存中,以便进行推理或微调。 2. `tokenizer.json`:这是模型的分词器配置文件,定义了如何将输入文本转化为模型可以理解的Token序列。分词器是NLP模型的重要组成部分,负责将句子拆分成单词或子词。
langchain4j [BUG] AllMiniLmL6V2EmbeddingModel导致UnsatisfiedLinkErrorhave no issue to use the...
('obrizum/all-MiniLM-L6-v2')# Tokenize sentencesencoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')# Compute token embeddingswithtorch.no_grad(): model_output = model(**encoded_input)# Perform poolingsentence_embeddings = mean_pooling(model_output, encoded...
langchain4j [BUG] AllMiniLmL6V2EmbeddingModel导致UnsatisfiedLinkErrorhave no issue to use the...
免费加入 已有帐号?立即登录 文件 main 该仓库未声明开源许可证文件(LICENSE),使用请关注具体项目描述及其代码上游依赖。 克隆/下载 git config --global user.name userName git config --global user.email userEmail all-MiniLM-L6-v2 / model.safetensors ...
model.safetensors modules.json sentence_bert_config.json special_tokens_map.json tokenizer.json tokenizer_config.json train_script.py vocab.txt models/all-MiniLM-L6-v2/.gitattributes -28 Load Diff This file was deleted. -7 Load Diff ...