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Improve model card: Add library_name and correct pipeline_tag (#1)

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- Improve model card: Add library_name and correct pipeline_tag (5d0708955ad28300914e1712bb57aa7ced4e8d76)


Co-authored-by: Niels Rogge <[email protected]>

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  1. README.md +5 -3
README.md CHANGED
@@ -1,14 +1,16 @@
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  ---
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- license: cc-by-nc-4.0
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  language:
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  - en
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- pipeline_tag: zero-shot-image-classification
 
 
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  tags:
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  - medical
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  - multimodal
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  - vision-language pre-training
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  - chest x-ray
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  ---
 
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  # MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment
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  ## Introduction:
@@ -44,7 +46,7 @@ All files for data preparation files can be downloaded from [Hugging Face: MeDSL
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  ### Pre-training
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  Our pre-train code is given in ```PreTrain_MeDSLIP```.
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  * Check the ```PreTrain_MeDSLIP/data_file``` dir and download the files for data preparation.
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- * Change the data and preparation files paths as you disire in ```PreTrain_MeDSLIP/configs/Pretrain_MeDSLIP.yaml```, and ```python PreTrain_MeDSLIP/train_MeDSLIP.py``` to pre-train.
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  ## Reference
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  ```
 
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  ---
 
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  language:
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  - en
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+ license: cc-by-nc-4.0
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+ pipeline_tag: image-text-to-text
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+ library_name: transformers
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  tags:
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  - medical
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  - multimodal
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  - vision-language pre-training
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  - chest x-ray
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  ---
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+
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  # MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment
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  ## Introduction:
 
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  ### Pre-training
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  Our pre-train code is given in ```PreTrain_MeDSLIP```.
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  * Check the ```PreTrain_MeDSLIP/data_file``` dir and download the files for data preparation.
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+ * Change the data and preparation files paths as you desire in ```PreTrain_MeDSLIP/configs/Pretrain_MeDSLIP.yaml```, and ```python PreTrain_MeDSLIP/train_MeDSLIP.py``` to pre-train.
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  ## Reference
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  ```