Model Details
Full Model IDmixedbread-ai/mxbai-embed-large-v1
Pipeline / Taskfeature-extraction
Librarysentence-transformers
Downloads (all-time)4.7M
Likes804
Last Modified1/23/2026
Author / Orgmixedbread-ai
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("feature-extraction", model="mixedbread-ai/mxbai-embed-large-v1")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
sentence-transformersonnxsafetensorsopenvinoggufbertfeature-extractionmtebtransformers.jstransformersenarxiv:2309.12871license:apache-2.0model-indextext-embeddings-inferenceendpoints_compatibleregion:us
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models🤖 Task: feature-extraction
This model is designed for the feature-extraction task. Explore more models for this use case.
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⬇ Downloads4.7M
����� Community Likes804
🛠�� 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.