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Update README.md

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@@ -71,6 +71,7 @@ image_inputs = processor(
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  # Get embeddings
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  query_embedding = model.encode_query(query_inputs)
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  doc_embedding = model.encode_passage(image_inputs)
 
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  ### Limitations and Future Work
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@@ -108,7 +109,7 @@ deepspeed --include localhost:0 --master_port 60000 train.py \
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  --query_max_len 128 \
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  --passage_max_len 512 \
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  --num_train_epochs 1
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- ```
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  ### License
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  Same as base model HuggingFaceTB/SmolVLM-256M-Base
 
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  # Get embeddings
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  query_embedding = model.encode_query(query_inputs)
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  doc_embedding = model.encode_passage(image_inputs)
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+ ```
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  ### Limitations and Future Work
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  --query_max_len 128 \
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  --passage_max_len 512 \
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  --num_train_epochs 1
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+ ```
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  ### License
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  Same as base model HuggingFaceTB/SmolVLM-256M-Base