Sentence Similarity
sentence-transformers
PyTorch
Safetensors
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Instructions to use thenlper/gte-large-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use thenlper/gte-large-zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thenlper/gte-large-zh") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
gte是否支持微调,有没有微调脚本?Does gte support fine-tuning? Is there any fine-tuning script?
👍 2
#4 opened over 2 years ago
by
mechigo
Does gte model need prefix for short-long form query?
1
#2 opened over 2 years ago
by
Lucas510
Any example for cross-encoding?
1
#1 opened over 2 years ago
by
dcalsky