Instructions to use geoffsee/octen-embedding-0.6b-onnx-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use geoffsee/octen-embedding-0.6b-onnx-int4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("geoffsee/octen-embedding-0.6b-onnx-int4") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Octen-Embedding-0.6B ONNX (INT4)
ONNX export of Octen/Octen-Embedding-0.6B for inference with ONNX Runtime. This repo contains only the INT4 variant for smaller downloads. Other variants: fp16, int8, int4.
- Base model: Octen/Octen-Embedding-0.6B
- Max sequence length: 512
- Hidden size: 1024
Files
| File | Description |
|---|---|
model.int4.onnx (+ .onnx.data) |
INT4 Bnb4 weight-only, ~537 MB |
tokenizer/ |
Same as base model |
Usage
from huggingface_hub import hf_hub_download
import onnxruntime as ort
from transformers import AutoTokenizer
repo_id = "geoffsee/octen-embedding-0.6b-onnx-int4"
path = hf_hub_download(repo_id=repo_id, filename="model.int4.onnx")
tokenizer = AutoTokenizer.from_pretrained(repo_id)
session = ort.InferenceSession(path, providers=["CPUExecutionProvider"])
# ... encode and run ...
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