Add pipeline tag and link to paper
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by
nielsr
HF Staff
- opened
README.md
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library_name: transformers
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license: mit
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---
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## Model Description
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We introduce ModCon-Task-Identifier, a fine-tuned BERT model that is capable of identifying the modality conversion task type based on the user’s prompt.
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conversion framework. Based on the user’s query, the system will convert the input file to the desired format by changing the modality
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(for instance, a text can be converted to an image, or a video can be converted to an audio)
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**The official project repository and the full project code are available at https://github.com/AlgazinovAleksandr/Multi-Agent-MATE**
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---
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library_name: transformers
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license: mit
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pipeline_tag: text-classification
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## Model Description
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We introduce ModCon-Task-Identifier, a fine-tuned BERT model that is capable of identifying the modality conversion task type based on the user’s prompt.
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conversion framework. Based on the user’s query, the system will convert the input file to the desired format by changing the modality
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(for instance, a text can be converted to an image, or a video can be converted to an audio)
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**The official project repository and the full project code are available at https://github.com/AlgazinovAleksandr/Multi-Agent-MATE**
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This model is based on the paper [MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications](https://huggingface.co/papers/2506.19502)
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