Kaz-RoBERTa (base-sized model)

Model description

Usage

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

>>> from transformers import pipeline
>>> unmasker = pipeline('fill-mask', model='kz-transformers/kaz-roberta-conversational')
>>> unmasker("Hello I'm a <mask> model.")



Here is how to use this model to get the features of a given text in PyTorch:

```python
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("kz-transformers/kaz-roberta-conversational")
model = AutoModelForMaskedLM.from_pretrained("kz-transformers/kaz-roberta-conversational")

# prepare input
text = "Replace me by any text you'd like."
encoded_input = tokenizer(text, return_tensors='pt')

# forward pass
output = model(**encoded_input)

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