text2vec-bge-large-chinese

1.6K
41
1 language
license:apache-2.0
by
shibing624
Embedding Model
OTHER
New
2K downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)text
pip install -U text2vec
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
Usage (text2vec)python
from text2vec import SentenceModel
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

model = SentenceModel('shibing624/text2vec-bge-large-chinese')
embeddings = model.encode(sentences)
print(embeddings)
text
pip install transformers
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pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
text
pip install -U sentence-transformers
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)
python
from sentence_transformers import SentenceTransformer

m = SentenceTransformer("shibing624/text2vec-bge-large-chinese")
sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']

sentence_embeddings = m.encode(sentences)
print("Sentence embeddings:")
print(sentence_embeddings)

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