Transformers
PyTorch
English
bridgetower
gaudi
Inference Endpoints
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@@ -54,7 +54,7 @@ for text in texts:
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  scores[text] = outputs.logits[0,1].item()
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  ```
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- Here is how to use this model to perfom masked language modeling:
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  ```python
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  from transformers import BridgeTowerProcessor, BridgeTowerForMaskedLM
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  The optimizer used was AdamW with a learning rate of 1e-7. No data augmentation was used except for center-crop. The image resolution in pre-training is set to 294 x 294.
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  ## Evaluation results
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- Please refer to [Table 5](https://arxiv.org/pdf/2206.08657.pdf) for BridgeTower's performance on Image Retrieval and other down stream tasks.
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  ### BibTeX entry and citation info
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  ```bibtex
 
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  scores[text] = outputs.logits[0,1].item()
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  ```
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+ Here is how to use this model to perform masked language modeling:
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  ```python
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  from transformers import BridgeTowerProcessor, BridgeTowerForMaskedLM
 
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  The optimizer used was AdamW with a learning rate of 1e-7. No data augmentation was used except for center-crop. The image resolution in pre-training is set to 294 x 294.
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  ## Evaluation results
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+ Please refer to [Table 5](https://arxiv.org/pdf/2206.08657.pdf) for BridgeTower's performance on Image Retrieval and other downstream tasks.
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  ### BibTeX entry and citation info
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  ```bibtex