Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Core ML
ONNX
Safetensors
OpenVINO
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Instructions to use thenlper/gte-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use thenlper/gte-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thenlper/gte-small") 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
Added a repo to show it being used in the browser
#16 opened over 1 year ago
by
dioptre
CoreML model seems wrong (dimension is 128 not 512)
2
#9 opened over 2 years ago
by
jens-alfke
Why is the model_max_length so big?
#8 opened over 2 years ago
by
nbertagnolli
Update tokenizer_config.json
#6 opened over 2 years ago
by
Xenova
ONNX model
#5 opened over 2 years ago
by
gerardo
Why gte model performs better than other models?
#2 opened almost 3 years ago
by
stevewyl
Having issues using with SentenceTransformers
4
#1 opened almost 3 years ago
by
loganpowell