
!!! 
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')
```
{"language": ["ru", "en", "be", "bg", "uk", "ro", "kz", "tg", "tat", "sv", "sl", "sr", "uz", "es", "fi"], "license": "mit", "tags": ["russian", "fill-mask", "pretraining", "embeddings", "masked-lm"], "widget": [{"text": "<mask> \u043d\u0430 \u0441\u043a\u043b\u0430\u0434"}]}
transformers pytorch safetensors roberta fill-mask russian pretraining embeddings masked-lm ru en be bg uk ro kz tg tat sv sl sr uz es fi license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #russian #pretraining #embeddings #masked-lm #ru #en #be #bg #uk #ro #kz #tg #tat #sv #sl #sr #uz #es #fi #license-mit #autotrain_compatible #endpoints_compatible #region-us 


!!! 
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:


TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #russian #pretraining #embeddings #masked-lm #ru #en #be #bg #uk #ro #kz #tg #tat #sv #sl #sr #uz #es #fi #license-mit #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #russian #pretraining #embeddings #masked-lm #ru #en #be #bg #uk #ro #kz #tg #tat #sv #sl #sr #uz #es #fi #license-mit #autotrain_compatible #endpoints_compatible #region-us 
