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aneforge/all-MiniLM-L12-v2
all-MiniLM-L12-v2 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. The card lists the license as apache-2.0.
An unmodified duplicate of sentence-transformers/all-MiniLM-L12-v2, 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; s…
Downloads · 30 days
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52% of all-time downloads
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How the weights are stored.
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From the Hugging Face model README
An unmodified duplicate of sentence-transformers/all-MiniLM-L12-v2, 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. Licensed apache-2.0 from the source.
# pip install "aneforge[models]"
from aneforge.sentence_transformers import SentenceTransformer
model = SentenceTransformer("aneforge/all-MiniLM-L12-v2")
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.