Sentence Similarity
Transformers
PyTorch
ONNX
Safetensors
sentence-transformers
Transformers.js
English
modernbert
feature-extraction
mteb
embedding
text-embeddings-inference
Instructions to use Alibaba-NLP/gte-modernbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/gte-modernbert-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/gte-modernbert-base") model = AutoModel.from_pretrained("Alibaba-NLP/gte-modernbert-base", device_map="auto") - sentence-transformers
How to use Alibaba-NLP/gte-modernbert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Alibaba-NLP/gte-modernbert-base") 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-modernbert-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Alibaba-NLP/gte-modernbert-base'); - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.a0153c8 -
Update Transformers.js sample code (#6)
Verified signature- Update Transformers.js sample code (26dda71fa433170ff379aaa64b6ad0500a81a415) - Update README.md (3d26940620003c46d06bfa7663552f42e00b65bc) Co-authored-by: Joshua <Xenova@users.noreply.huggingface.co>75cd141 -
Upload ONNX weights (#5)
Verified signature- Upload ONNX weights (31fbb8b4c849f77535ec6fabe013939da1d21b20) Co-authored-by: Joshua <Xenova@users.noreply.huggingface.co>586ae96 -
Update README.md
Verified signature2e7d402 -
Complete Sentence Transformers integration + patch inference on CPU & Windows (#4)
Verified signature- Remove reference_compile; complete Sentence Transformers support (5c66f04b1ffb7a7db1a480361c8a574deed2e3b7) - Notify users that flash_attn is recommended (b94cf64d6cb8ea2e1746f7e6df169b8300804035)50bc194
-
Upload config.json
Verified signature752e76f -
Update README.md
Verified signaturee9e0ece -
Update README.md
Verified signature3672cc3 -
Update README.md
Verified signature7ca8b4c -
Update README.md
Verified signatureda4f0a2 -
Update README.md
Verified signature1fd1a1f -
support sentence transformers
Verified signature9369e9f -
Update README.md
Verified signaturec9c9e10
-
Upload pytorch_model.bin
Verified signature258f739 -
init
Verified signature0ad7fd9 -
initial commit
Verified signaturedd353f1