Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
Transformers.js
English
nomic_bert
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use nomic-ai/nomic-embed-text-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/nomic-embed-text-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/nomic-embed-text-v1", 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
How to use nomic-ai/nomic-embed-text-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nomic-ai/nomic-embed-text-v1", trust_remote_code=True) model = AutoModel.from_pretrained("nomic-ai/nomic-embed-text-v1", trust_remote_code=True, device_map="auto") - Transformers.js
How to use nomic-ai/nomic-embed-text-v1 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'nomic-ai/nomic-embed-text-v1'); - Notebooks
- Google Colab
- Kaggle
Fine-tune in Spanish
#6
by dariolopez - opened
Hello everyone,
Congratulations on your work on this embedding model.
Can I fine tune this model with Spanish language?
Thank you.
yes you can! although i’m not sure which datasets would work best
Do you have any guidance on whether it is better to first adapt it to a language (e.g. Spanish) and then to a domain (e.g. Legal) or whether one can jump to fine-tune it directly to a Legal-Spanish dataset?
Thank you and congrats for the great work!
I don’t have any experience doing multilingual so I’d just be guessing :)
zpn changed discussion status to closed