|  | --- | 
					
						
						|  |  | 
					
						
						|  | language: ["ru", "en", "be", "bg", "uk", "ro", "kz", "tg", "tat", "sv", "sl", "sr", "uz", "es", "fi"] | 
					
						
						|  |  | 
					
						
						|  | tags: | 
					
						
						|  |  | 
					
						
						|  | - russian | 
					
						
						|  |  | 
					
						
						|  | - fill-mask | 
					
						
						|  |  | 
					
						
						|  | - pretraining | 
					
						
						|  |  | 
					
						
						|  | - embeddings | 
					
						
						|  |  | 
					
						
						|  | - masked-lm | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | license: mit | 
					
						
						|  |  | 
					
						
						|  | widget: | 
					
						
						|  |  | 
					
						
						|  | - text: "<mask> на склад" | 
					
						
						|  |  | 
					
						
						|  | --- | 
					
						
						|  |  | 
					
						
						|  | !!! | 
					
						
						|  | At the moment, the model is distilled, a version from one of the first checkpoints is available for download. | 
					
						
						|  | We plan to post the full model in the next few days. | 
					
						
						|  | !!! | 
					
						
						|  |  | 
					
						
						|  | This is a distilled HRBert model for an mlm task. | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | Sentence embeddings can be produced as follows: | 
					
						
						|  |  | 
					
						
						|  | ```python | 
					
						
						|  |  | 
					
						
						|  | # pip install transformers | 
					
						
						|  |  | 
					
						
						|  | from transformers import pipeline | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | fill_mask = pipeline( | 
					
						
						|  | "fill-mask", | 
					
						
						|  | model='RabotaRu/HRBert-mini', | 
					
						
						|  | tokenizer='RabotaRu/HRBert-mini' | 
					
						
						|  | ) | 
					
						
						|  |  | 
					
						
						|  | fill_mask('<mask> на склад') | 
					
						
						|  | ``` |