# Roberta base model for QA (SQuAD 2.0)

This model uses [roberta-base](https://huggingface.co/roberta-base).

## Training Data
The models have been trained on the [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) dataset.

It can be used for question answering task.

## Usage and Performance
The trained model can be used like this:
```python
from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline

# Load model & tokenizer
roberta_model = AutoModelForQuestionAnswering.from_pretrained('navteca/roberta-base-squad2')
roberta_tokenizer = AutoTokenizer.from_pretrained('navteca/roberta-base-squad2')

# Get predictions
nlp = pipeline('question-answering', model=roberta_model, tokenizer=roberta_tokenizer)

result = nlp({
    'question': 'How many people live in Berlin?',
    'context': 'Berlin had a population of 3,520,031 registered inhabitants in an area of 891.82 square kilometers.'
})

print(result)

#{
#  "answer": "3,520,031"
#  "end": 36,
#  "score": 0.96186668,
#  "start": 27,
#}
```

{"language": "en", "license": "mit", "tags": ["roberta", "question-answering"], "datasets": ["squad_v2"], "pipeline_tag": "question-answering"}
transformers pytorch jax roberta question-answering en dataset:squad_v2 license:mit endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #roberta #question-answering #en #dataset-squad_v2 #license-mit #endpoints_compatible #region-us 

# Roberta base model for QA (SQuAD 2.0)

This model uses roberta-base.

## Training Data
The models have been trained on the SQuAD 2.0 dataset.

It can be used for question answering task.

## Usage and Performance
The trained model can be used like this:


# Roberta base model for QA (SQuAD 2.0)

This model uses roberta-base. ## Training Data
The models have been trained on the SQuAD 2.0 dataset.

It can be used for question answering task. ## Usage and Performance
The trained model can be used like this:
TAGS
#transformers #pytorch #jax #roberta #question-answering #en #dataset-squad_v2 #license-mit #endpoints_compatible #region-us 
 # Roberta base model for QA (SQuAD 2.0)

This model uses roberta-base. ## Training Data
The models have been trained on the SQuAD 2.0 dataset.

It can be used for question answering task. ## Usage and Performance
The trained model can be used like this:
passage: TAGS
#transformers #pytorch #jax #roberta #question-answering #en #dataset-squad_v2 #license-mit #endpoints_compatible #region-us 
# Roberta base model for QA (SQuAD 2.0)

This model uses roberta-base.## Training Data
The models have been trained on the SQuAD 2.0 dataset.

It can be used for question answering task.## Usage and Performance
The trained model can be used like this: