metadata
license: apache-2.0
language:
- en
- es
- eu
metrics:
- BLEU
- TER
Medical English-Basque machine translation model
Model description
- Model type: translation
- Source Language: English / Spanish
- Target Language: Basque
- License: apache-2.0
How to Get Started with the Model
Use the code below to get started with the model.
from transformers import MarianMTModel, MarianTokenizer
from transformers import AutoTokenizer
from transformers import AutoModelForSeq2SeqLM
src_text = ["The patient had brain damage", "El paciente tiene daño cerebral"]
model_name = "anegda/medical_enes-eu"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
print([tokenizer.decode(t, skip_special_tokens=True) for t in translated])`
The recommended environments include the following transfomer versions: 4.12.3 , 4.15.0 , 4.26.1
Contact information
For further information, send an email to [email protected]