Update README.md

README.md

@@ -5,4 +5,36 @@ datasets:
 language:
 - ru
 library_name: sentence-transformers
----
+---
+
+## Пример 1
+```python
+from transformers import AutoModel, AutoTokenizer, AutoModelForSequenceClassification
+import torch
+sigmoid_fn = torch.nn.Sigmoid()
+# model = AutoModelForSequenceClassification.from_pretrained("/home/jovyan/pakorolev/ranker/deep_pavlov_mrr_0_8413")
+# tokenizer = AutoTokenizer.from_pretrained("/home/jovyan/pakorolev/ranker/deep_pavlov_mrr_0_8413")
+
+model = AutoModelForSequenceClassification.from_pretrained("PitKoro/cross-encoder-ru-msmarco-passage")
+tokenizer = AutoTokenizer.from_pretrained("PitKoro/cross-encoder-ru-msmarco-passage")
+
+text = [['привет', 'привет'],['привет', 'пока']]
+tokenized = tokenizer(text, return_tensors='pt')
+
+logits = model(**tokenized).logits
+output = sigmoid_fn(logits.flatten())
+
+print(output)
+```
+
+## Пример 2
+```python
+from sentence_transformers.cross_encoder import CrossEncoder
+
+model = CrossEncoder("PitKoro/cross-encoder-ru-msmarco-passage")
+text = [['привет', 'привет'],['привет', 'пока']]
+
+output = model.predict(text)
+
+print(output)
+```