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bce-embedding-base_v1-openvino-qint8
guoch/bce-embedding-base_v1-openvino-qint8
bce-embedding-base_v1-openvino-qint8 is a machine learning model from guoch. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
OpenVINO Version 8bit of bce-embedding-basev1. Using: https://huggingface.co/spaces/sentence-transformers/backend-export. Calibrated using params: nyu-mll/glue, sst2, train, sentence, 300
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At a glance
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 11, 2025
- Updated
- Mar 11, 2025
- SHA
- b45c8754
Model card
From the Hugging Face model README
Model
OpenVINO Version 8bit of bce-embedding-base_v1. Using: https://huggingface.co/spaces/sentence-transformers/backend-export. Calibrated using params: nyu-mll/glue, sst2, train, sentence, 300
Inference
from sentence_transformers import SentenceTransformer
# 1. Load the model from the Hugging Face Hub
model = SentenceTransformer(
"guoch/bce-embedding-base_v1-openvino-qint8",
backend="openvino",
model_kwargs={"file_name": "openvino_model_qint8_quantized.xml"},
)
# 2. Inference works as normal
embeddings = model.encode(["The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium."])
similarities = model.similarity(embeddings, embeddings)
- Type
- xlm-roberta
- License
- apache-2.0
- Created
- Mar 11, 2025
- Updated
- Mar 11, 2025