updated readme

README.md

@@ -58,14 +58,18 @@ widget:
   example_title: "gast and dust"
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-# astroBERT base model 
-Pretrained model on English language using a masked language modeling (MLM) and next sentence prediction (NSP) objective.  
-It was introduced in [this paper at ADASS 2021](https://arxiv.org/abs/2112.00590).  
-This model is cased (it treats `ads` and `ADS` differently). 
+# ***astroBERT: a language model for astrophysics***
+This public repository contains the work of the [NASA/ADS](https://ui.adsabs.harvard.edu/) on building an NLP language model tailored to astrophysics, along with tutorials and miscellaneous related files. 
+This model is **cased** (it treats `ads` and `ADS` differently). 
 
-## Tutorials
-0. [Embeddings](https://nbviewer.org/urls/huggingface.co/adsabs/astroBERT/raw/main/Tutorials/0_Embeddings.ipynb)
-1. [Fill-Mask](https://nbviewer.org/urls/huggingface.co/adsabs/astroBERT/raw/main/Tutorials/1_Fill-Mask.ipynb)
+## astroBERT models
+0. **Base model**: Pretrained model on English language using a masked language modeling (MLM) and next sentence prediction (NSP) objective. It was introduced in [this paper at ADASS 2021](https://arxiv.org/abs/2112.00590) and made public at ADASS 2022.  
+1. **NER-DEAL model**: This model adds a token classification head to the base model finetuned on the [DEAL@WIESP2022 named entity recognition](https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks) task. Must be loaded from the `revision='NER-DEAL'` branch (see tutorial 2).
+
+### Tutorials
+0. [generate text embedding (for downstream tasks)](https://nbviewer.org/urls/huggingface.co/adsabs/astroBERT/raw/main/Tutorials/0_Embeddings.ipynb)
+1. [use astroBERT for the Fill-Mask task](https://nbviewer.org/urls/huggingface.co/adsabs/astroBERT/raw/main/Tutorials/1_Fill-Mask.ipynb)
+2. [make NER-DEAL predictions](https://nbviewer.org/urls/huggingface.co/adsabs/astroBERT/raw/main/Tutorials/2_NER_DEAL.ipynb)
 
 
 ### BibTeX