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TEC-English
KES/TEC-English
TEC-English is a machine learning model from KES. 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 apache-2.0.
This model utilises T5-base pre-trained model. It was fine tuned using a custom dataset for translation of Trinidad English Creole to English. This model will be updated periodically as more data is compiled. For more…
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jun 25, 2022
- Updated
- Jul 26, 2024
- SHA
- ff904906
Model card
From the Hugging Face model README
Trinidad English Creole to English Translator
This model utilises T5-base pre-trained model. It was fine tuned using a custom dataset for translation of Trinidad English Creole to English. This model will be updated periodically as more data is compiled. For more on the Caribbean English Creole checkout the library Caribe.
Usage with Transformers
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("KES/TEC-English")
model = AutoModelForSeq2SeqLM.from_pretrained("KES/TEC-English")
text = "Dem men doh kno wat dey doing wid d money"
inputs = tokenizer("tec:"+text, truncation=True, return_tensors='pt')
output = model.generate(inputs['input_ids'], num_beams=4, max_length=512, early_stopping=True)
translation=tokenizer.batch_decode(output, skip_special_tokens=True)
print("".join(translation)) #translation: These men do not know what they are doing with the money.
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 25, 2022
- Updated
- Jul 26, 2024