metadata
language:
- es
- qu
tags:
- quechua
- translation
- spanish
license: apache-2.0
t5-small-finetuned-spanish-to-quechua
This model is a finetuned version of the t5-small.
Model description
Intended uses & limitations
How to use
You can import this model as follows:
>>> from transformers import AutoModelForSeq2SeqLM
>>> from transformers import AutoTokenizer
>>> model_name = 'hackathon-pln-es/t5-small-finetuned-spanish-to-quechua'
>>> model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
>>> tokenizer = AutoTokenizer.from_pretrained(model_name)
To translate you can do:
>>> sentence = "Entonces dijo"
>>> input = tokenizer(text, return_tensors="pt")
>>> output = model.generate(input["input_ids"], max_length=40, num_beams=4, early_stopping=True)
>>> print('Original Sentence: {} \nTranslated sentence: {}'.format(sentence, tokenizer.decode(output[0])))
Limitations and bias
Training data
Evaluation results
We obtained the following metrics during the training process:
- eval_bleu = 2.9691
- eval_loss = 1.2064628601074219