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--- |
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license: mit |
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language: en |
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tags: |
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- sentence capitalization |
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- text2text-generation |
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--- |
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This model utilises T5-base pre-trained model. It was fine tuned using a custom dataset This model was fine-tuned for capitalisation on text that includes multiple sentences or questions. |
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Interested in Caribbean Creole? Checkout the library [Caribe](https://pypi.org/project/Caribe/) for more info and future updates. |
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# Usage with Transformers |
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```python |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = AutoTokenizer.from_pretrained("KES/caribe-capitalise") |
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model = AutoModelForSeq2SeqLM.from_pretrained("KES/caribe-capitalise") |
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text = "john is a boy. he is 12 years old. his sister's name is Joy." |
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inputs = tokenizer("text:"+text, truncation=True, return_tensors='pt') |
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output = model.generate(inputs['input_ids'], num_beams=4, max_length=512, early_stopping=True) |
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capitalised_text=tokenizer.batch_decode(output, skip_special_tokens=True) |
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print("".join(capitalised_text)) #Capitalised Output: John is a boy. He is 12 years old. His sister's name is Joy. |
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``` |
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