Downloads · 30 days
1.6K
0% of all-time downloads
spelling-correction-english-base
oliverguhr/spelling-correction-english-base
spelling-correction-english-base is a machine learning model from oliverguhr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This is an experimental model that should fix your typos and punctuation. If you like to run your own experiments or train for a different language, have a look at the code.
All-time downloads
755K
Public
Parameters
139M
3 GB on disk
Likes
77
Public
Repo makeup
Click a slice to open those files.
.onnx1.9 GB · 63%
At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- May 23, 2022
- Updated
- Dec 18, 2023
- SHA
- 0e395835
Try a prompt
Model card
From the Hugging Face model README
This is an experimental model that should fix your typos and punctuation. If you like to run your own experiments or train for a different language, have a look at the code.
Model description
This is a proof of concept spelling correction model for English.
Intended uses & limitations
This project is work in progress, be aware that the model can produce artefacts. You can test the model using the pipeline-interface:
from transformers import pipeline
fix_spelling = pipeline("text2text-generation",model="oliverguhr/spelling-correction-english-base")
print(fix_spelling("lets do a comparsion",max_length=2048))
- Library
- transformers
- Type
- bart
- License
- mit
- Languages
- en
- Created
- May 23, 2022
- Updated
- Dec 18, 2023