Update README.md

README.md

@@ -19,7 +19,6 @@ metrics:
 - wer
 library_name: transformers
 pipeline_tag: image-to-text
-#inference: false
 ---
 
 # TrOCR (small sized model)
@@ -28,6 +27,10 @@ We present a new version of the small TrOCR model, fine-tuned on a self-generate
 
 This model has been specialized for printed fonts and does not support handwritten recognition.
 
+# Hiring
+
+We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on Computer Vision, NLP and Document AI please send your resume to [email protected] or apply to the many open positions at [Qantev Job Board](https://qantev.welcomekit.co).
+
 # Model presentation
 
 The TrOCR model architecture is based on the Transformer framework, comprising an image Transformer as the encoder and a text Transformer as the decoder. 
@@ -90,4 +93,4 @@ generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)
 
 # Contact us
 
-dl_engineers@qantev.com
+research [at] qantev [dot] com