README.md

---
license: apache-2.0
datasets:
- kz-transformers/multidomain-kazakh-dataset
language:
- kk
pipeline_tag: fill-mask
library_name: transformers
widget:
- text: "sadsadsadsadas"
---
# Kaz-RoBERTa (base-sized model) 

## Model description



## Usage

You can use this model directly with a pipeline for masked language modeling:

```python
>>> from transformers import pipeline
>>> pipe = pipeline('fill-mask', model='kz-transformers/kaz-roberta-conversational')
>>> pipe("Абай Құнанбайұлының көзқарастары терең білінген еңбегі — <mask> сөздері.")
```


### BibTeX entry and citation info