Create README.md

README.md

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+---
+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](https://huggingface.co/t5-small).
+
+## Model description
+
+
+
+## Intended uses & limitations
+
+
+
+### How to use
+
+You can import this model as follows:
+
+```python
+>>> 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:
+
+```python
+>>> 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`