
This is an auxilary model for content preserving formality transfer model [LEWIP-informal](https://huggingface.co/SkolkovoInstitute/LEWIP-informal). This particular model classifies the tokens from the source formal text and label them as keep or delete/replace. These labels are further used by LEWIP-informal to generate content preserving informal paraphrases. 
{"language": ["en"], "tags": ["formality transfer"], "licenses": ["cc-by-nc-sa"]}
transformers pytorch safetensors bert token-classification formality transfer en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #token-classification #formality transfer #en #autotrain_compatible #endpoints_compatible #region-us 


This is an auxilary model for content preserving formality transfer model LEWIP-informal. This particular model classifies the tokens from the source formal text and label them as keep or delete/replace. These labels are further used by LEWIP-informal to generate content preserving informal paraphrases. 
TAGS
#transformers #pytorch #safetensors #bert #token-classification #formality transfer #en #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #safetensors #bert #token-classification #formality transfer #en #autotrain_compatible #endpoints_compatible #region-us 
