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@@ -4,7 +4,7 @@ datasets:
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  - ms_marco
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  language:
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  - en
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- pipeline_tag: sentence-similarity
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  ---
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  # MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
@@ -15,13 +15,14 @@ Code: [https://github.com/microsoft/SimXNS/tree/main/MASTER](https://github.com/
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  ## Overview
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- This is the checkpoint after pretraining on the MS-MARCO corpus.
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-
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- You may use this checkpoint for finetuning.
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  ## Useage
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  To load this checkpoint for initialization, you may follow:
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  ```python
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- ```
 
 
 
 
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  - ms_marco
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  language:
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  - en
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+ pipeline_tag: feature-extraction
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  ---
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  # MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
 
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  ## Overview
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+ This is the checkpoint after pretraining on the MS-MARCO corpus. **You may use this checkpoint as the initialization for finetuning.**
 
 
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  ## Useage
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  To load this checkpoint for initialization, you may follow:
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  ```python
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+ from transformers import AutoModel
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+
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+ model = AutoModel.from_pretrained('lx865712528/master-base-pretrained-msmarco')
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+ ```