metadata
license: mit
language:
- en
pipeline_tag: text2text-generation
library_name: adapter-transformers
Model Card for Model ID
This is an English grammar correction model.
Model Details
Model Description
- Developed by: Amin Rahmani
- Model type: T5
- Language(s) (NLP): English
- License: MIT
How to Get Started with the Model
from happytransformer import HappyTextToText
happy_tt = HappyTextToText("T5", ".\PATH TO MODEL")
from happytransformer import TTSettings
beam_settings = TTSettings(num_beams=8, min_length=1, max_length=100)
input_text_1 = "grammar: hi dear"
output_text_1 = happy_tt.generate_text(input_text_1, args=beam_settings) print(output_text_1.text)
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
validation loss: 0.04 learning rate: epochs: 3
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: RTX 3090