
# BERT BASE (cased) finetuned on Bulgarian squad data

Pretrained model on Bulgarian language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.com/google-research/bert). This model is cased: it does make a difference
between bulgarian and Bulgarian. The training data is Bulgarian text from [OSCAR](https://oscar-corpus.com/post/oscar-2019/), [Chitanka](https://chitanka.info/) and [Wikipedia](https://bg.wikipedia.org/).

It was finetuned on private squad Bulgarian data.

Then, it was compressed via [progressive module replacing](https://arxiv.org/abs/2002.02925).

### How to use

Here is how to use this model in PyTorch:

```python
>>> from transformers import pipeline
>>> 
>>> model = pipeline(
>>>     'question-answering',
>>>     model='rmihaylov/bert-base-squad-theseus-bg',
>>>     tokenizer='rmihaylov/bert-base-squad-theseus-bg',
>>>     device=0,
>>>     revision=None)
>>>
>>> question = "С какво се проследява пандемията?"
>>> context = "Епидемията гасне, обяви при обявяването на данните тази сутрин Тодор Кантарджиев, член на Националния оперативен щаб. Той направи този извод на база на данните от математическите модели, с които се проследява развитието на заразата. Те показват, че т. нар. ефективно репродуктивно число е вече в границите 0.6-1. Тоест, 10 души заразяват 8, те на свой ред 6 и така нататък. "

>>> output = model(**{'question': question, 'context': context})
>>> print(output)

{'score': 0.85157310962677, 'start': 162, 'end': 186, 'answer': ' математическите модели,'}
```

{"language": ["bg"], "license": "mit", "tags": ["torch"], "datasets": ["oscar", "chitanka", "wikipedia"], "inference": false}
transformers pytorch bert question-answering torch bg dataset:oscar dataset:chitanka dataset:wikipedia arxiv:1810.04805 arxiv:2002.02925 license:mit region:us
TAGS
#transformers #pytorch #bert #question-answering #torch #bg #dataset-oscar #dataset-chitanka #dataset-wikipedia #arxiv-1810.04805 #arxiv-2002.02925 #license-mit #region-us 


# BERT BASE (cased) finetuned on Bulgarian squad data

Pretrained model on Bulgarian language using a masked language modeling (MLM) objective. It was introduced in
this paper and first released in
this repository. This model is cased: it does make a difference
between bulgarian and Bulgarian. The training data is Bulgarian text from OSCAR, Chitanka and Wikipedia.

It was finetuned on private squad Bulgarian data.

Then, it was compressed via progressive module replacing.

### How to use

Here is how to use this model in PyTorch:



# BERT BASE (cased) finetuned on Bulgarian squad data

Pretrained model on Bulgarian language using a masked language modeling (MLM) objective. It was introduced in
this paper and first released in
this repository. This model is cased: it does make a difference
between bulgarian and Bulgarian. The training data is Bulgarian text from OSCAR, Chitanka and Wikipedia.

It was finetuned on private squad Bulgarian data.

Then, it was compressed via progressive module replacing. ### How to use

Here is how to use this model in PyTorch:
TAGS
#transformers #pytorch #bert #question-answering #torch #bg #dataset-oscar #dataset-chitanka #dataset-wikipedia #arxiv-1810.04805 #arxiv-2002.02925 #license-mit #region-us 
 # BERT BASE (cased) finetuned on Bulgarian squad data

Pretrained model on Bulgarian language using a masked language modeling (MLM) objective. It was introduced in
this paper and first released in
this repository. This model is cased: it does make a difference
between bulgarian and Bulgarian. The training data is Bulgarian text from OSCAR, Chitanka and Wikipedia.

It was finetuned on private squad Bulgarian data.

Then, it was compressed via progressive module replacing. ### How to use

Here is how to use this model in PyTorch:
passage: TAGS
#transformers #pytorch #bert #question-answering #torch #bg #dataset-oscar #dataset-chitanka #dataset-wikipedia #arxiv-1810.04805 #arxiv-2002.02925 #license-mit #region-us 
# BERT BASE (cased) finetuned on Bulgarian squad data

Pretrained model on Bulgarian language using a masked language modeling (MLM) objective. It was introduced in
this paper and first released in
this repository. This model is cased: it does make a difference
between bulgarian and Bulgarian. The training data is Bulgarian text from OSCAR, Chitanka and Wikipedia.

It was finetuned on private squad Bulgarian data.

Then, it was compressed via progressive module replacing.### How to use

Here is how to use this model in PyTorch: