Intel/albert-base-v2-sst2-int8-dynamic-inc
By Intel · ↓ 9 · ♥ 0 · Updated 2023-06-27
What's in this repo
This page lists the files in Intel/albert-base-v2-sst2-int8-dynamic-inc, including model.onnx.
- 1 ONNX models (.onnx files)
- 5 files, including 2 .json, 1 .md, 1 .onnx
- Last updated 2023-06-27
ONNX files
| File | Size | Download |
|---|---|---|
| model.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
INT8 albert-base-v2-sst2
Post-training dynamic quantization
ONNX
This is an INT8 ONNX model quantized with Intel® Neural Compressor.
The original fp32 model comes from the fine-tuned model Alireza1044/albert-base-v2-sst2.
Test result
| INT8 | FP32 | |
|---|---|---|
| Accuracy (eval-accuracy) | 0.9186 | 0.9232 |
| Model size (MB) | 59 | 45 |
Load ONNX model:
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained('Intel/albert-base-v2-sst2-int8-dynamic')
Model info
text-classification
transformers
transformers
onnx
albert
text-classification
text-classfication
int8
Intel® Neural Compressor
PostTrainingDynamic
en
dataset:glue
license:apache-2.0
endpoints_compatible
↓ 9
♥ 0
Created: 2022-12-28
Updated: 2023-06-27
View on Hugging FaceFiles (5)
.gitattributes
README.md
config.json
model.onnx
ONNX
tokenizer.json