File size: 524 Bytes
f44f2a5
 
 
 
 
 
 
 
 
e3b24ae
f44f2a5
 
 
 
db4d813
85f6c1b
 
566f4e3
a82899f
 
dad225a
a82899f
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
---
datasets:
- opus_books
- wmt14
language:
- en
- fr
metrics:
- bleu
pipeline_tag: translation
---

# medical-mt-fr-en

This model was fine-tuned based on [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on WMT14 medical translation dataset.

source language: French

target language: English

## Inference
```python
from transformers import pipeline

text = 'Coombs négatif anémie hémolytique'

translator = pipeline("translation", model="kwang123/medical-mt-fr-en")
translator(text)
```