Visual Document Retrieval
PEFT
Safetensors
vidore-experimental
vidore
manu commited on
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4594521
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1 Parent(s): 001aee3

Update README.md

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  1. README.md +3 -3
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@@ -7,7 +7,7 @@ tags:
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  pipeline_tag: visual-document-retrieval
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  ---
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- # ColSmolVLM-alpha: Visual Retriever based on SmolVLM-Instruct with ColBERT strategy
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  ### This is a version trained with batch_size 128 for 3 epochs
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@@ -57,12 +57,12 @@ from PIL import Image
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  from colpali_engine.models import ColIdefics3, ColIdefics3Processor
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  model = ColIdefics3.from_pretrained(
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- "vidore/colsmolvlm-alpha",
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  torch_dtype=torch.bfloat16,
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  device_map="cuda:0",
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  attn_implementation="flash_attention_2" # or eager
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  ).eval()
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- processor = ColIdefics3Processor.from_pretrained("vidore/colsmolvlm-alpha")
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  # Your inputs
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  images = [
 
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  pipeline_tag: visual-document-retrieval
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  ---
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+ # ColSmolVLM-v0.1: Visual Retriever based on SmolVLM-Instruct with ColBERT strategy
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  ### This is a version trained with batch_size 128 for 3 epochs
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  from colpali_engine.models import ColIdefics3, ColIdefics3Processor
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  model = ColIdefics3.from_pretrained(
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+ "vidore/colsmolvlm-v0.1",
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  torch_dtype=torch.bfloat16,
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  device_map="cuda:0",
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  attn_implementation="flash_attention_2" # or eager
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  ).eval()
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+ processor = ColIdefics3Processor.from_pretrained("vidore/colsmolvlm-v0.1")
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  # Your inputs
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  images = [