HiTZ
/

Text2Text Generation
Transformers
PyTorch
mt5
medical
multilingual
medic
Inference Endpoints
ragerri commited on
Commit
b873ea7
1 Parent(s): 6ba5d9c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -25,10 +25,11 @@ tags:
25
  <br>
26
 
27
 
28
- # Model Card for MedMT5-large
29
 
30
  <p align="justify">
31
- We present Medical mT5, the first open-source text-to-text multilingual model for the medical domain. Medical mT5 is an encoder-decoder model developed by continuing the training of publicly available mT5 checkpoints on medical domain data for English, Spanish, French, and Italian.
 
32
  </p>
33
 
34
  - 📖 Paper: [Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain]()
@@ -36,7 +37,6 @@ We present Medical mT5, the first open-source text-to-text multilingual model fo
36
 
37
 
38
 
39
-
40
  <table border="1" cellspacing="0" cellpadding="5">
41
  <caption>Pre-Training settings for Medical MT5.</caption>
42
  <thead>
 
25
  <br>
26
 
27
 
28
+ # Model Card for Medical mT5-large
29
 
30
  <p align="justify">
31
+ We present Medical mT5, the first open-source text-to-text multilingual model for the medical domain. Medical mT5 is an encoder-decoder model
32
+ developed by continuing the training of publicly available mT5 checkpoints on medical domain data for English, Spanish, French, and Italian.
33
  </p>
34
 
35
  - 📖 Paper: [Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain]()
 
37
 
38
 
39
 
 
40
  <table border="1" cellspacing="0" cellpadding="5">
41
  <caption>Pre-Training settings for Medical MT5.</caption>
42
  <thead>