---
license: mit
library_name: aneforge
base_model: thenlper/gte-small
pipeline_tag: sentence-similarity
tags:
- aneforge
- apple-neural-engine
- sentence-transformers
---

# GTE-small (ANEForge)

An unmodified duplicate of [`thenlper/gte-small`](https://huggingface.co/thenlper/gte-small), tagged for use with
[**ANEForge**](https://github.com/sbryngelson/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 `mit` from the source.

## Use with ANEForge

```python
# pip install "aneforge[models]"
from aneforge.sentence_transformers import SentenceTransformer

model = SentenceTransformer("aneforge/gte-small")
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](https://aneforge.readthedocs.io) and the [paper](https://arxiv.org/abs/2606.17090).