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persian-reverse-dict
behnamsa/persian-reverse-dict
persian-reverse-dict is a text classification model from behnamsa. Use it when you need a label for a piece of text. It is set up for generic.
Access
Public
Updated Mar 10, 2023
Repo size
160 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.data-00000-of-00001143 MB · 89%
At a glance
- Task
- Text Classification
- Library
- generic
- Access
- Public
- Created
- Mar 10, 2023
- Updated
- Mar 10, 2023
- SHA
- 63fceef4
Try a prompt
Model card
From the Hugging Face model README
Persian Reverse Dictionary
This project aims to create a Persian reverse dictionary model that suggests a word based on our input explanations. This model is based on Transformer encoders and uses fast text embedding.
Dataset
The dataset used in this work is from this link. This dataset contains 855,217 data from Amid, Moein, and Dehkhoda dictionaries plus Farsnet and Persian Wikipedia.
Overall
| Metric | Value |
|---|---|
| Top-10 accuracy | 16.72% |
| Top-100 accuracy | 33.89% |
| Top-10 Synonyms accuracy | 42.19% |
| Top-100 Synonyms accuracy | 62.72% |
How to use
- Clone the repository.
- Install the required libraries.
- Import the
PreTrainedPipelineclass from the script. - Instantiate the pipeline object with the path to the directory where the saved model and other required files are located.
- Call the pipeline object on an input sentence.
Here's an example usage:
from pipeline import PreTrainedPipeline
pipeline = PreTrainedPipeline("path/to/directory")
result = pipeline("وسیله حمل و نقل پرنده.")
print(result)
- Task
- Text Classification
- Library
- generic
- Created
- Mar 10, 2023
- Updated
- Mar 10, 2023