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spellcheck_model
leoyt61/spellcheck_model
spellcheck_model is a machine learning model from leoyt61. 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.
1. Install Python 3.8 or higher and Docker; 2. Clone the repo; 3. Create a virtual environment: python3 -m venv venv; 4. Activate the virtual environment: source venv/bin/activate; 5. Install dependencies: pip install…
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jun 28, 2023
- Updated
- Jun 28, 2023
- SHA
- 54f5ec96
Model card
From the Hugging Face model README
Spellcheck Model
Installation
- Install Python 3.8 or higher and Docker;
- Clone the repo;
- Create a virtual environment:
python3 -m venv venv; - Activate the virtual environment:
source venv/bin/activate; - Install dependencies:
pip install -r requirements.txt;
Usage
Training
There's a data directory with two files:
eval.csv: evaluation dataset;train.csv: training dataset; Both are in the same format:
input,target
"grammar: som sentense","some sentence"
"grammar: anoder centence","another sentence"
...
You can edit them to use your own dataset.
Now if you want to fine-tune the existing model here, just run the following commands:
docker build -t spellcheck_train .
docker run -v $(pwd):/app spellcheck_train
Also make sure you have docker running on your machine.
Testing
If you want to test your model, just run the following command:
python test.py
- Library
- transformers
- Type
- t5
- Languages
- en
- Created
- Jun 28, 2023
- Updated
- Jun 28, 2023