Update README.md
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README.md
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@@ -75,6 +75,7 @@ def get_embedding(last_hidden_state: torch.Tensor, dimension: int) -> torch.Tens
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### Encode Text Query
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```python
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queries = ["Where can we see Llama?", "What is LLaMA model?"]
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query_messages = []
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for query in queries:
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@@ -103,7 +104,6 @@ query_embeddings = get_embedding(output.hidden_states[-1], 1536) # adjust dimens
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### Encode Document Screenshot
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```python
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from PIL import Image
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import requests
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from io import BytesIO
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### Encode Text Query
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```python
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from PIL import Image
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queries = ["Where can we see Llama?", "What is LLaMA model?"]
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query_messages = []
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for query in queries:
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### Encode Document Screenshot
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```python
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import requests
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from io import BytesIO
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