device(string) 要使用的设备,对于CPU使用cpu,对于第n个GPU设备使用cuda:n。 生成文档嵌入,使用encode_documents,生成查询词的嵌入,使用encode_queries docs = [ "Artificial intelligence was founded as an academic discipline in 1956.", "Alan Turing was the first person to conduct substantial research in A...
from pymilvus.model.hybrid import BGEM3EmbeddingFunction bge_m3_ef = BGEM3EmbeddingFunction( model_name='BAAI/bge-m3', # Specify the model name device='cpu', # Specify the device to use, e.g., 'cpu' or 'cuda:0' use_fp16=False # Specify whether to use fp16. Set to `False` if...
pip install sentence-transformers transformers安装的是最新版本 V4.39.3 (Apr 2, 2024);Torch安装的是带CUDA的2.2.2+CUDA12.1,默认情况下安装PyTorch(pip install torch)安装的是CPU版本,为了安装GPU版本,在PyTorch的网页中按下图选择安装选项,根据选项得到安装命令行,如下图所示。 3. CUDA检测 CUDA是NVIDIA专为...
By default,sentence-transformersrequirestorch, and on Linux devices that by default installs the CUDA-compatible version oftorch. However, as in your case, we want thecpu-specific version, so we need to get ahead of thesentence-transformersinstallation and already installtorchfor CPUs before we e...
pip3installtorch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu 6、安装transformers 因为上面已经安装了pyTorch,所以此时可以安装transformers了 pipinstalltransformers 7、上述依赖环境安装完成,开始安装sentence-transformers 建议使用conda安装,使用pip安装不知道会有何问题 ...
安装RUN pip install --no-cache-dir torch==2.1.1+cpu -f https://download.pytorch.org/whl/torch_stable.html RUN pip install transformers tqdm numpy sciki
# Find the closest 5 sentences of the corpus for each query sentence based on cosine similaritytop_k=5forqueryinqueries:query_embedding=embedder.encode(query,convert_to_tensor=True)cos_scores=util.pytorch_cos_sim(query_embedding,corpus_embeddings)[0]cos_scores=cos_scores.cpu()#We use torch....
一、安装PyTorch pip install torch===1.7.0torchvision===0.8.1torchaudio===0.7.0-f https://.pytorch.org/whl/. 执行命令后的运行情况大致如下: Lookinginlinks:https://download.pytorch.org/whl/torch_stable.html Collecting torch===1.7.0Using cached torch-1.7.0-cp36-none-macosx_10_9_x86_64....
pip install faiss-cpu 使用sentence_transformers 将文本转换为向量: 假设你已经有一个文本数据集,你可以使用 sentence_transformers 将每个句子转换为向量。 python from sentence_transformers import SentenceTransformer # 加载预训练的模型 model = SentenceTransformer('all-MiniLM-L6-v2') # 将句子列表转换为向量列...
# Find the closest 5 sentences of the corpus for each query sentence based on cosine similaritytop_k =5forqueryinqueries: query_embedding = embedder.encode(query, convert_to_tensor=True) cos_scores = util.pytorch_cos_sim(query_embedding, corpus_embeddings)[0] cos_scores = cos_scores.cpu(...