|
--- |
|
|
|
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') |
|
``` |
