Model Details
Full Model IDnomic-ai/nomic-embed-text-v1
Pipeline / Tasksentence-similarity
Librarysentence-transformers
Downloads (all-time)4.5M
Likes575
Last Modified4/7/2026
Author / Orgnomic-ai
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("sentence-similarity", model="nomic-ai/nomic-embed-text-v1")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
sentence-transformerspytorchonnxsafetensorsnomic_bertfeature-extractionsentence-similaritymtebtransformerstransformers.jscustom_codeenarxiv:2402.01613license:apache-2.0model-indextext-embeddings-inferenceendpoints_compatibleregion:us
More sentence-similarity Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: sentence-similarity
This model is designed for the sentence-similarity task. Explore more models for this use case.
All sentence-similarity Models →📊 Popularity
⬇ Downloads4.5M
❤️ Community Likes575
🛠️ Requirements
- →Install: pip install sentence-transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.