Instructions to use unum-cloud/uform-vl-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unum-cloud/uform-vl-multilingual with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unum-cloud/uform-vl-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -34,6 +34,22 @@ The model was trained on balanced multilingual dataset.
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If you need English model, check [this](https://huggingface.co/unum-cloud/uform-vl-english).
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## Installation
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If you need English model, check [this](https://huggingface.co/unum-cloud/uform-vl-english).
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## Evaluation
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The following metrics were obtained with multimodal re-ranking:
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**Monolingual**
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| Dataset | Recall@1 | Recall@5 | Recall@10 |
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| :-------- | ------: | --------: | --------: |
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| Zero-Shot Flickr | 0.558 | 0.813 | 0.874 |
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| MS-COCO (train split was in training data) | 0.401 | 0.680 | 0.781 |
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**Multilingual**
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| English | German | Spanish | French | Italian | Russian | Japanese | Korean | Turkish | Chinese | Polish |
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| -------: | -------: | -------: | -------: | -------: | -------: | -------: | -------: | -------: | -------: | -------:
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96.3 | 92.6 | 94.5 | 94.4 | 94.4 | 90.4 | 88.3 | 92.5 | 94.4 | 93.6 | 95.0 |
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## Installation
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