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๐Ÿค— + ๐Ÿ“š๐Ÿฉบ๐Ÿ‡ฎ๐Ÿ‡น + โ“ = BioBIT_QA

From this repository you can download the BioBIT_QA (Biomedical Bert for ITalian for Question Answering) checkpoint.

BioBIT_QA is built on top of BioBIT, fine-tuned on an Italian Neuropsychological Italian datasets. More details will follow!

Install libraries:

pip install farm-haystack[inference]

Download model locally:

git clone https://huggingface.co/IVN-RIN/bioBIT_QA

Run the code

# Import libraries
from haystack.nodes import FARMReader
from haystack.schema import Document

# Define the reader
reader = FARMReader(
    model_name_or_path="bioBIT_QA",
    return_no_answer=True
)

# Define context and question
context = '''
This is an example of context
'''
question = 'This is a question example, ok?'

# Wrap context in Document
docs = Document(
    content = context
)

# Predict answer
prediction = reader.predict(
    query = question,
    documents = [docs],
    top_k = 5
)

# Print the 5 first predicted answers
for i, ans in enumerate(prediction['answers']):
    print(f'Answer num {i+1}, with score {ans.score*100:.2f}%: "{ans.answer}"')
    
# Inferencing Samples: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1/1 [00:01<00:00,  1.14s/ Batches]
# Answer num 1, with score 97.91%: "Example answer 01"
# Answer num 2, with score 53.69%: "Example answer 02"
# Answer num 3, with score 0.03%: "Example answer 03"
# ...

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