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---
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] категории С"
---
This is a distilled Herbert 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('требуется <mask> менеджер')
``` |