Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
Chinese
bert
Sentence Transformers
Instructions to use shibing624/text2vec-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use shibing624/text2vec-base-chinese with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shibing624/text2vec-base-chinese") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
langchain No sentence-transformers model found with name
#24
by Littlebox692 - opened
# 先将该模型保存在了本地
tokenizer = BertTokenizer.from_pretrained(model_name)
model = BertModel.from_pretrained(model_name)
tokenizer.save_pretrained(save_directory=model_path)
model.save_pretrained(save_directory=model_path)
# 然后使用HuggingFaceEmbedings构建一个对象,这个时候会报警告:No sentence-transformers model found with name xxxxx
embeddings = HuggingFaceEmbeddings(
model_name=local_embeding_model_path,
)
embeddings = SentenceTransformer("shibing624/text2vec-base-chinese",
)
shibing624 changed discussion status to closed