Matisse6410/MNLP_M2_document_encoder
By Matisse6410 · ↓ 0 · ♥ 0 · Updated 2025-06-10
What's in this repo
This page lists the files in Matisse6410/MNLP_M2_document_encoder, including model.onnx, model_O1.onnx, model_O2.onnx and more.
- 9 ONNX models (.onnx files)
- 30 files, including 9 .json, 9 .onnx, 3 .bin, 2 .xml, 1 .md, 1 .safetensors
- Last updated 2025-06-10
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model.onnx | — | Download |
| onnx/model_O1.onnx | — | Download |
| onnx/model_O2.onnx | — | Download |
| onnx/model_O3.onnx | — | Download |
| onnx/model_O4.onnx | — | Download |
| onnx/model_qint8_arm64.onnx | — | Download |
| onnx/model_qint8_avx512.onnx | — | Download |
| onnx/model_qint8_avx512_vnni.onnx | — | Download |
| onnx/model_quint8_avx2.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Matisse6410/MNLP_M2_document_encoder
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space.
Model info
sentence-similarity
sentence-transformers
sentence-transformers
pytorch
tf
rust
onnx
safetensors
openvino
bert
feature-extraction
sentence-similarity
transformers
en
↓ 0
♥ 0
Created: 2025-05-27
Updated: 2025-06-10
View on Hugging FaceFiles (30)
.gitattributes
1_Pooling/config.json
README.md
config.json
config_sentence_transformers.json
data_config.json
model.safetensors
modules.json
onnx/model.onnx
ONNX
onnx/model_O1.onnx
ONNX
onnx/model_O2.onnx
ONNX
onnx/model_O3.onnx
ONNX
onnx/model_O4.onnx
ONNX
onnx/model_qint8_arm64.onnx
ONNX
onnx/model_qint8_avx512.onnx
ONNX
onnx/model_qint8_avx512_vnni.onnx
ONNX
onnx/model_quint8_avx2.onnx
ONNX
openvino/openvino_model.bin
openvino/openvino_model.xml
openvino/openvino_model_qint8_quantized.bin
openvino/openvino_model_qint8_quantized.xml
pytorch_model.bin
rust_model.ot
sentence_bert_config.json
special_tokens_map.json
tf_model.h5
tokenizer.json
tokenizer_config.json
train_script.py
vocab.txt