Sentence Similarity
Transformers
ONNX
Safetensors
sentence-transformers
Transformers.js
English
new
feature-extraction
gte
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use Alibaba-NLP/gte-large-en-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/gte-large-en-v1.5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Alibaba-NLP/gte-large-en-v1.5", trust_remote_code=True, dtype="auto") - sentence-transformers
How to use Alibaba-NLP/gte-large-en-v1.5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Alibaba-NLP/gte-large-en-v1.5", trust_remote_code=True) 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] - Transformers.js
How to use Alibaba-NLP/gte-large-en-v1.5 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'Alibaba-NLP/gte-large-en-v1.5'); - Notebooks
- Google Colab
- Kaggle
Inference with transformers==5.3.0 fails
1
#25 opened about 2 months ago
by
guillaumeguy
LOCO benchmarks of GTE-Large
#24 opened about 1 year ago
by
Sidhantt
Solution of cannot use downloaded huggingface weight in SentenceTransformer method
#23 opened over 1 year ago
by
Super-Xray-2025
Matryoshka embedding
1
#22 opened over 1 year ago
by
belerico
FP32 or FP16
1
#20 opened over 1 year ago
by
timbmg
Model is not supported by VLLM
1
#19 opened over 1 year ago
by
skumarai
To deploy in Sagemaker
👍 1
#18 opened over 1 year ago
by
lsatish
Different behavior between SentenceTransformer and TEI/Infinity when using gte-large-en-v1.5
#17 opened almost 2 years ago
by
smityz
Datasets used in the fine-tuning stage
1
#16 opened almost 2 years ago
by
yushi
Best practice using the model
1
#15 opened about 2 years ago
by
shipWr3ck
Do we need to add prompt prefix for query in retrieval tasks?
1
#14 opened about 2 years ago
by
alexgre
Code corresponding to the onnx upload
6
#12 opened about 2 years ago
by
ProfLinh
PEFT for Finetuning
👍 6
#11 opened about 2 years ago
by
rajchk
[AUTOMATED] Model Memory Requirements
#10 opened about 2 years ago
by
model-sizer-bot
Add gguf version
3
#7 opened about 2 years ago
by
rodion-m