返回模型
说明文档
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"
Pandeymp29/Amazon-Fashion-Semantic-Search
作者 Pandeymp29
sentence-similarity
sentence-transformers
↓ 0
♥ 0
创建时间: 2026-01-12 09:19:53+00:00
更新时间: 2026-01-25 06:06:31+00:00
在 Hugging Face 上查看文件 (24)
.gitattributes
OptModel/config.json
OptModel/model.onnx
ONNX
OptModel/special_tokens_map.json
OptModel/tokenizer.json
OptModel/tokenizer_config.json
OptModel/vocab.txt
README.md
amazon_IndexHNSWFlat.faiss
item_ids.npy
model/1_Pooling/config.json
model/README.md
model/config.json
model/config_sentence_transformers.json
model/model.safetensors
model/modules.json
model/sentence_bert_config.json
model/special_tokens_map.json
model/tokenizer.json
model/tokenizer_config.json
model/vocab.txt
my_amazon_index.faiss
product_lookup.pkl
product_lookup_optimised.pkl