Update README.md

README.md

@@ -7,6 +7,15 @@ sdk: static
 pinned: false
 ---
 
+<p align="center">
+  <img src="bmilogo.png" />
+</p>
+
+<p align="center">
+  <img src="bmi_scritta.png" />
+</p>
+
+
 # BMI - Biomedical Informatics Lab "Mario Stefanelli"
 
 ## About Us
@@ -31,11 +40,12 @@ Here we host public weights for our biomedical language models. There are severa
 
 | Model      | Domain  | Type              | Details                                                     |
 |------------|---------|-------------------|-------------------------------------------------------------|
-| [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) <sup>⸸</sup>| Biomedical | MaskedLM Pretrain | BERT model trained after [dbmdz/bert-base-italian-xxl-cased](https://huggingface.co/dbmdz/bert-base-italian-xxl-cased) with 28GB Pubmed abstracts (as in BioBERT) that have been translated from English into Italian using Google Neural Machine Translation (GNMT). |
-| [MedBIT](https://huggingface.co/bmi-labmedinfo/medBIT) <sup>⸸</sup>| Medical | MaskedLM Pretrain | BERT model trained after [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) with additional 100MB of medical textbook data without any regularization. |
-| [MedBIT-R3+](https://huggingface.co/bmi-labmedinfo/medBIT-r3-plus) (recommended) <sup>⸸</sup>| Medical | MaskedLM Pretrain | BERT model trained after [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) with additional 200MB of medical textbook data and web-crawled medical resources in Italian. Regularized with LLRD (.95), Mixout (.9), and Warmup (.02). |
+| [Igea](https://huggingface.co/Detsutut/Igea-1B-v0.0.1) | Biomedical | CausalLM Pretrain | Small language model trained after [sapienzanlp/Minerva-1B-base-v1.0](https://huggingface.co/sapienzanlp/Minerva-1B-base-v1.0) with 28GB Pubmed abstracts (as in BioBERT) that have been translated from English into Italian using Neural Machine Translation (GNMT). |
+| [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) <sup>*</sup>| Biomedical | MaskedLM Pretrain | BERT model trained after [dbmdz/bert-base-italian-xxl-cased](https://huggingface.co/dbmdz/bert-base-italian-xxl-cased) with 28GB Pubmed abstracts (as in BioBERT) that have been translated from English into Italian using Neural Machine Translation (GNMT). |
+| [MedBIT](https://huggingface.co/bmi-labmedinfo/medBIT) <sup>*</sup>| Medical | MaskedLM Pretrain | BERT model trained after [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) with additional 100MB of medical textbook data without any regularization. |
+| [MedBIT-R3+](https://huggingface.co/bmi-labmedinfo/medBIT-r3-plus) (recommended) <sup>*</sup>| Medical | MaskedLM Pretrain | BERT model trained after [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) with additional 200MB of medical textbook data and web-crawled medical resources in Italian. Regularized with LLRD (.95), Mixout (.9), and Warmup (.02). |
 
-<sup>⸸</sup> <small>model developed for the [Italian Neuroscience and Rehabilitation Network](https://www.reteneuroscienze.it/en/istituti-nazionali-virtuali/) in partnership with the Neuroinformatics Lab of IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy</small>
+<sup>*</sup> <small>model developed for the [Italian Neuroscience and Rehabilitation Network](https://www.reteneuroscienze.it/en/istituti-nazionali-virtuali/) in partnership with the Neuroinformatics Lab of IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy</small>
 
 
 Other models coming soon!