Sentence Similarity
sentence-transformers
PyTorch
Safetensors
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Instructions to use intfloat/e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use intfloat/e5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/e5-large") 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
Regarding commercial use of this model
#12 opened over 1 year ago
by
MinoTetsuya
Suggested way to finetune model
#11 opened over 2 years ago
by
green-matteo
Adding `safetensors` variant of this model
#9 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#7 opened almost 3 years ago
by
SFconvertbot
GPU inference support
1
#5 opened about 3 years ago
by
FlirtyFox
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
Got "sentence-similarity is not a valid pipeline" error when I try to run the example
1
#2 opened over 3 years ago
by
aaahchi