Create README.md

README.md

@@ -1,3 +1,27 @@
----
-license: cc-by-4.0
----
+How to use:
+
+With sentence transformers:
+```
+from sentence_transformers import CrossEncoder
+model_path = "clarin-knext/herbert-large-msmarco"
+model = CrossEncoder(model_path, max_length=512)
+
+scores = model.predict([('Query', 'Paragraph1'), ('Query', 'Paragraph2') , ('Query', 'Paragraph3')])
+```
+
+With transformers:
+```
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+model_path = "clarin-knext/herbert-large-msmarco"
+model = AutoModelForSequenceClassification.from_pretrained(model_path)
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+
+features = tokenizer(['Jakie miasto jest stolica Polski?', 'Stolicą Polski jest Warszawa.'],  padding=True, truncation=True, return_tensors="pt")
+
+model.eval()
+with torch.no_grad():
+    scores = model(**features).logits
+    print(scores)
+```