pice35408784b54431987c4d13c457b9cd
/
all-MiniLM-L6-v2
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
all-MiniLM-L6-v2模型是一个高效的句子嵌入模型，能够将句子或段落映射到一个384维的密集向量空间中。
3 Commits 1 Branch 0 Tags 887 MiB
Python 100%
Go to file
yang yingjie 526ce8176c first commit 2025-06-12 10:58:26 +08:00
1_Pooling first commit 2025-06-12 10:58:26 +08:00
onnx first commit 2025-06-12 10:58:26 +08:00
openvino first commit 2025-06-12 10:58:26 +08:00
.gitattributes Add .gitattributes 2025-06-12 10:50:15 +08:00
README.md Initial commit 2025-06-12 10:50:15 +08:00
config.json first commit 2025-06-12 10:58:26 +08:00
config_sentence_transformers.json first commit 2025-06-12 10:58:26 +08:00
data_config.json first commit 2025-06-12 10:58:26 +08:00
model.safetensors first commit 2025-06-12 10:58:26 +08:00
modules.json first commit 2025-06-12 10:58:26 +08:00
pytorch_model.bin first commit 2025-06-12 10:58:26 +08:00
rust_model.ot first commit 2025-06-12 10:58:26 +08:00
sentence_bert_config.json first commit 2025-06-12 10:58:26 +08:00
special_tokens_map.json first commit 2025-06-12 10:58:26 +08:00
tf_model.h5 first commit 2025-06-12 10:58:26 +08:00
tokenizer.json first commit 2025-06-12 10:58:26 +08:00
tokenizer_config.json first commit 2025-06-12 10:58:26 +08:00
train_script.py first commit 2025-06-12 10:58:26 +08:00
vocab.txt first commit 2025-06-12 10:58:26 +08:00

README.md

all-MiniLM-L6-v2

all-MiniLM-L6-v2模型是一个高效的句子嵌入模型，能够将句子或段落映射到一个384维的密集向量空间中。