Update README.md

Added code to run the model

README.md

@@ -12,4 +12,63 @@ library_name: Haystack
 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](https://huggingface.co/IVN-RIN/bioBIT), fine-tuned on an Italian Neuropsychological Italian datasets.
-More details will follow!
+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%|██████████| 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"
+# ...
+
+
+```