PEFT
Safetensors
vidore-experimental
vidore
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@@ -19,7 +19,7 @@ This version is the untrained base version to guarantee deterministic projection
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  ## Version specificity
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- This version is trained with `colpali-engine==0.3.5`. (branch smolvlm from the repo)
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  Data is the same as the ColPali data described in the paper.
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@@ -42,11 +42,11 @@ We train on a 4 GPU setup with data parallelism, a learning rate of 5e-4 with li
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  ## Usage
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- Make sure `colpali-engine` is installed from source or with a version superior to 0.3.5 (branch smolvlm from the repo currently).
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  `transformers` version must be > 4.46.2.
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  ```bash
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- pip install git+https://github.com/illuin-tech/colpali@smolvlm
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  ```
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  ```python
 
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  ## Version specificity
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+ This version is trained with `colpali-engine==0.3.5`. (main branch from the repo)
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  Data is the same as the ColPali data described in the paper.
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  ## Usage
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+ Make sure `colpali-engine` is installed from source or with a version superior to 0.3.5 (main branch from the repo currently).
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  `transformers` version must be > 4.46.2.
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  ```bash
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+ pip install git+https://github.com/illuin-tech/colpali
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  ```
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  ```python