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README.md

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+---
+base_model: BAAI/bge-reranker-base
+language:
+- en
+- zh
+library_name: sentence-transformers
+license: mit
+pipeline_tag: text-classification
+tags:
+- mteb
+- text-embeddings-inference
+- openvino
+- nncf
+- 8-bit
+model-index:
+- name: bge-reranker-base
+  results:
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB CMedQAv1
+      type: C-MTEB/CMedQAv1-reranking
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 81.27206722525007
+    - type: mrr
+      value: 84.14238095238095
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB CMedQAv2
+      type: C-MTEB/CMedQAv2-reranking
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 84.10369934291236
+    - type: mrr
+      value: 86.79376984126984
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB MMarcoReranking
+      type: C-MTEB/Mmarco-reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 35.4600511272538
+    - type: mrr
+      value: 34.60238095238095
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB T2Reranking
+      type: C-MTEB/T2Reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 67.27728847727172
+    - type: mrr
+      value: 77.1315192743764
+---
+
+This model is a quantized version of [`BAAI/bge-reranker-base`](https://huggingface.co/BAAI/bge-reranker-base) and is converted to the OpenVINO format. This model was obtained via the [nncf-quantization](https://huggingface.co/spaces/echarlaix/nncf-quantization) space with [optimum-intel](https://github.com/huggingface/optimum-intel).
+
+First make sure you have `optimum-intel` installed:
+
+```bash
+pip install optimum[openvino]
+```
+
+To load your model you can do as follows:
+
+```python
+from optimum.intel import OVModelForSequenceClassification
+
+model_id = "turingevo/bge-reranker-base-openvino-8bit"
+model = OVModelForSequenceClassification.from_pretrained(model_id)
+```