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Update usage
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- This demo loads the `FlaxCLIPVisionBertForSequenceClassificationModel` present in the `model` directory of this repository. The checkpoint is loaded from `ckpt/ckpt-60k-5999` which is pre-trained checkpoint with 60k steps and 5999 fine-tuning steps. 100 random examples are present in the `dummy_vqa_multilingual.tsv` with respective images in the `images/val2014` directory.
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- You can also upload your image using the `Upload your image` file uploader and type in a question of your choosing in the textual input area.
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- We provide `English Translation` of the question for users who are not well-acquainted with the other languages. This is done using `mtranslate` to keep things flexible enough and needs internet connection as it uses the Google Translate API.
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- This demo loads the `FlaxCLIPVisionBertForSequenceClassificationModel` present in the `model` directory of this repository. The checkpoint is loaded from `ckpt/ckpt-60k-5999` which is pre-trained checkpoint with 60k steps and 5999 fine-tuning steps. 100 random validation set examples are present in the `dummy_vqa_multilingual.tsv` with respective images in the `images/val2014` directory.
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- We provide `English Translation` of the question for users who are not well-acquainted with the other languages. This is done using `mtranslate` to keep things flexible enough and needs internet connection as it uses the Google Translate API.
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