Create README.md

README.md

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+---
+language:
+- en
+---
+{sentence-transformers/LaBSE}{https://huggingface.co/sentence-transformers/LaBSE} pre-trained on an instructional question-and-answer dataset. Evaluated on Precision at K metrics and Mean reciprocal rank 
+```python
+import torch
+from transformers import AutoTokenizer, AutoModel
+tokenizer = AutoTokenizer.from_pretrained("zjkarina/LaBSE-instructDialogs")
+model = AutoModel.from_pretrained("zjkarina/LaBSE-instructDialogs")
+sentences = ["List 5 reasons why someone should learn to code", "Describe the sound of the wind on a sunny day."]
+encoded_input = tokenizer(sentences, padding=True, truncation=True, max_length=64, return_tensors='pt')
+with torch.no_grad():
+    model_output = model(**encoded_input)
+embeddings = model_output.pooler_output
+embeddings = torch.nn.functional.normalize(embeddings)
+print(embeddings)
+```