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
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README.md
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---
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UForm is a Multi-Modal Modal Inference package, designed to encode Multi-Lingual Texts, Images, and, soon, Audio, Video, and Documents, into a shared vector space!
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This is model card of the __Multilingual model__ with:
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* 12 layers BERT (8 layers for unimodal encoding and rest layers for multimodal encoding)
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* ViT-B/16 (image resolution is 224x224)
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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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## Evaluation
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</h3>
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---
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UForm is a Multi-Modal Modal Inference package, designed to encode Multi-Lingual Texts, Images, and, soon, Audio, Video, and Documents, into a shared vector space!
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This is model card of the __Multilingual model__ (12 languages) with:
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* 12 layers BERT (8 layers for unimodal encoding and rest layers for multimodal encoding)
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* ViT-B/16 (image resolution is 224x224)
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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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If you need more languages, check [this](https://huggingface.co/unum-cloud/uform-vl-multilingual-v2)
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## Evaluation
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