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| File | Description |
|---|---|
model.int4.onnx (+ .onnx.data) | INT4 Bnb4 weight-only, ~537 MB |
tokenizer/ | Same as base model |
1from huggingface_hub import hf_hub_download
2import onnxruntime as ort
3from transformers import AutoTokenizer
4
5repo_id = "geoffsee/octen-embedding-0.6b-onnx-int4"
6path = hf_hub_download(repo_id=repo_id, filename="model.int4.onnx")
7tokenizer = AutoTokenizer.from_pretrained(repo_id)
8session = ort.InferenceSession(path, providers=["CPUExecutionProvider"])
9# ... encode and run ...