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medical_en-eu
HiTZ/medical_en-eu
medical_en-eu is a machine learning model from HiTZ. 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.
- Model type: translation - Source Language: English - Target Language: Basque - License: apache-2.0
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Jun 27, 2024
- Updated
- Jun 27, 2024
- SHA
- fd634854
Model card
From the Hugging Face model README
Medical English-Basque machine translation model
Model description
- Model type: translation
- Source Language: English
- 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"]
model_name = "anegda/medical_en-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]
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Languages
- en, eu
- Created
- Jun 27, 2024
- Updated
- Jun 27, 2024