Create README.md

README.md

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+To use this model
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-base")
+model = AutoModelForSequenceClassification.from_pretrained("LsTam/MQ-classification")
+
+softmax = torch.nn.Softmax(dim=1)
+prediction = lambda p : [(a[0] < a[1]) * 1 for a in p]
+
+# 0 is for wrong question and 1 for good ones
+
+text = ['Your question' + ' </s> ' + 'your context']
+
+a = tokenizer(text, return_tensors="pt")
+result = model(**a)
+pred = prediction(softmax(result.logits).tolist())
+```