Pandeymp29/Amazon-Fashion-Semantic-Search

I'll fetch the README content from HuggingFace for this model. The README appears to be empty on the main page. Let me fetch the raw README file directly: The README only contains YAML frontmatter metadata (no documentation content). Here's the translated version:

---
language:
- en
license: mit
library_name: sentence-transformers
tags:
- semantic-search
- fashion
- onnx
- quantization
- feature-extraction
- fine-tuning
datasets:
- McAuley-Lab/Amazon-Reviews-2023
base_model: sentence-transformers/all-mpnet-base-v2
pipeline_tag: sentence-similarity
model-index:
- name: Optimized-Amazon-RecSys
  results:
  - task:
      type: semantic-search
      name: 语义搜索
    dataset:
      name: Amazon Fashion 2023
      type: McAuley-Lab/Amazon-Reviews-2023
    metrics:
    - name: 推理延迟
      type: latency
      value: 45 ms
    - name: 模型大小
      type: model-size
      value: 107 MB
    - name: 加速倍数
      type: speedup
      value: 8x
metrics:
- recall
---

Note: This README only contains YAML frontmatter metadata with no additional documentation content. The technical keys (language, license, tags, etc.) are kept in English as they are machine-readable configuration fields. Only the human-readable display names have been translated:

• "Semantic Search" → "语义搜索"
• "Inference Latency" → "推理延迟"
• "Model Size" → "模型大小"
• "Speedup Factor" → "加速倍数"