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README.md
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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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--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
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