Update README.md

README.md

@@ -6,5 +6,29 @@ language:
 - ru
 pipeline_tag: text-classification
 ---
-# 
+# Den4ikAI/ruBert-base-qa-ranker
 Модель для оценки релевантности ответов на вопросы.
+# Использование
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained('Den4ikAI/ruBert-base-qa-ranker')
+model = AutoModelForSequenceClassification.from_pretrained('Den4ikAI/ruBert-base-qa-ranker')
+inputs = tokenizer('[CLS]Что такое QR-код?[RESPONSE_TOKEN]QR-код - это тип матричного штрих-кода.', max_length=512, add_special_tokens=False, return_tensors='pt')
+with torch.inference_mode():
+    logits = model(**inputs).logits
+    probas = torch.sigmoid(logits)[0].cpu().detach().numpy()
+relevance, no_relevance = probas
+print('Relevance: {}'.format(relevance))
+```
+# Citation
+```
+@MISC{Den4ikAI/ruBert-base-qa-ranker,
+    author  = {Denis Petrov},
+    title   = {Russian QA relevancy model},
+    url     = {https://huggingface.co/Den4ikAI/ruBert-base-qa-ranker},
+    year    = 2023
+}
+
+```