Downloads · 30 days
21
35% of all-time downloads
aneforge/multi-qa-MiniLM-L6-cos-v1
multi-qa-MiniLM-L6-cos-v1 is a sentence similarity model from aneforge. Use it when you need a score for how close two texts are. It is set up for aneforge.
An unmodified duplicate of sentence-transformers/multi-qa-MiniLM-L6-cos-v1, tagged for use with ANEForge so the weights load and run directly on the Apple Neural Engine (no CoreML). Weights are byte-identical to the s…
Downloads · 30 days
21
35% of all-time downloads
All-time downloads
60
Public
Parameters
22.7M
90.9 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors90.9 MB · 99%
How the weights are stored.
F3222.7M · 100%
From the Hugging Face model README
An unmodified duplicate of sentence-transformers/multi-qa-MiniLM-L6-cos-v1, tagged for use with
ANEForge so the weights load and run directly on the
Apple Neural Engine (no CoreML). Weights are byte-identical to the source; see the original repo for
the model details. See the original repo for license terms.
# pip install "aneforge[models]"
from aneforge.sentence_transformers import SentenceTransformer
model = SentenceTransformer("aneforge/multi-qa-MiniLM-L6-cos-v1")
emb = model.encode(["Hello from the Neural Engine"], normalize_embeddings=True)
ANEForge compiles the model's graph into a single ANE program and streams the weights from this repo
via huggingface_hub. See the docs and the paper.