Create README.md

README.md

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+---
+language:
+- hu
+pipeline_tag: question-answering
+---
+This model is a fine-tuned version of deepset/xlm-roberta-large-squad2 on the milqa dataset.
+
+Packages to install for large roberta model:
+```py
+sentencepiece==0.1.97
+protobuf==3.20.0
+```
+
+How to use:
+```py
+from transformers import pipeline
+qa_pipeline = pipeline(
+  "question-answering",
+  model = "ZTamas/xlm-roberta-large-squad2_impossible_long_answer",
+  tokenizer = "ZTamas/xlm-roberta-large-squad2_impossible_long_answer",
+  device = 0,                      #GPU selection, -1 on CPU
+  handle_impossible_answer = True,
+  max_answer_len = 1000            #This can be modified, but to let the model's
+                                   #answer be as long as it wants so I
+                                   #decided to add a big number
+  )
+
+predictions = qa_pipeline({
+    'context': context,            
+    'question': question           
+})
+
+print(predictions)
+
+```