Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
English
modernbert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use nomic-ai/modernbert-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/modernbert-embed-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/modernbert-embed-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 nomic-ai/modernbert-embed-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'nomic-ai/modernbert-embed-base'); - Notebooks
- Google Colab
- Kaggle
wen GGUF
#9
by sukkritsharma - opened
I wanted to use this using llama.cpp since my current stack uses nomic-embed-text-v1.5.Q8_0.gguf, wanted to know when are we going to get the GGUF variants
I imagine this will require changes to llama.cpp/gpt4all before we can get GGUFs, I would suggest creating an issue there
zpn changed discussion status to closed
I would make the issue in the llama.cpp main repo: https://github.com/ggerganov/llama.cpp. Support for all modern bert based model will likely be desired (not just embed)