Update README.md

README.md

@@ -31,16 +31,18 @@ This is a  DeBERTa-v3-base-tasksource-nli model with an adapter trained on [webi
 This model is suitable for English only.
 
 - **Developed by:** Webimmunication Team
-- **Shared by [optional]:** @ikrysinska
-- **Model type:** [More Information Needed]
+- **Shared by:** @ikrysinska
+- **Model type:** Transformer
 - **Language(s) (NLP):** EN
 - **License:** CC BY 4.0
-- **Finetuned from model [optional]:** https://huggingface.co/sileod/deberta-v3-base-tasksource-nli 
+- **Finetuned from model:** https://huggingface.co/sileod/deberta-v3-base-tasksource-nli 
 
-### Model Sources
+<!-- ### Model Sources
 
 - **Paper:** [More Information Needed]
 
+  -->
+
 ## Uses
 The model was trained to classify a pair of short texts: tweet and conspiracy theory. The model returns a float number which represents the likelihood that the tweet supports a given conspiracy theory.
 
@@ -130,9 +132,9 @@ Carbon emissions are estimated using the [Machine Learning Impact calculator](ht
 - **Carbon Emitted:** 4.44 kg CO2 eq ([equivalent to: 17.9 km driven by an average ICE car, 2.22 kgs of coal burned, 0.07 tree seedlings sequesting carbon for 10 years](https://www.epa.gov/energy/greenhouse-gases-equivalencies-calculator-calculations-and-references)
 
 
-## Citation [optional]
+<!--## Citation [optional]
 
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+ If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. 
 
 **BibTeX:**
 
@@ -144,14 +146,15 @@ Carbon emissions are estimated using the [Machine Learning Impact calculator](ht
 
 ## Glossary [optional]
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
 
 [More Information Needed]
 
+-->
 
 ## Model Card Authors
 
-@ikrysinska, @wtomi
+@ikrysinska
 
 ## Model Card Contact