ChemQwen-vL [ Qwen for Chem Vision ] 🧑🏻‍🔬
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ChemQwen-vL [ Qwen for Chem Vision ] 🧑🏻‍🔬
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🧪Model : 
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🧪Model : 
https://huggingface.co/prithivMLmods/ChemQwen-vL
prithivMLmods/ChemQwen-vL
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https://huggingface.co/prithivMLmods/ChemQwen-vL
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📝ChemQwen-vL is a vision-language model fine-tuned based on the Qwen2VL-2B Instruct model. It has been trained using the International Chemical Identifier (InChI) format for chemical compounds and is optimized for chemical compound identification. The model excels at generating the InChI and providing descriptions of chemical compounds based on their images. Its architecture operates within a multi-modal framework, combining image-text-text capabilities. It has been fine-tuned using datasets from: 
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📝ChemQwen-vL is a vision-language model fine-tuned based on the Qwen2VL-2B Instruct model. It has been trained using the International Chemical Identifier (InChI) format for chemical compounds and is optimized for chemical compound identification. The model excels at generating the InChI and providing descriptions of chemical compounds based on their images. Its architecture operates within a multi-modal framework, combining image-text-text capabilities. It has been fine-tuned using datasets from: 
https://iupac.org/projects/
https://iupac.org/projects/
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📒Colab Demo: 
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📒Colab Demo: 
https://tinyurl.com/2pn8x6u7
https://tinyurl.com/2pn8x6u7
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, Collection : 
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, Collection : 
https://tinyurl.com/2mt5bjju
https://tinyurl.com/2mt5bjju
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Inference with the documentation is possible with the help of the ReportLab library. 
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Inference with the documentation is possible with the help of the ReportLab library. 
https://pypi.org/project/reportlab/
https://pypi.org/project/reportlab/
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🤗: 
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🤗: 
@prithivMLmods
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prithivMLmods
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ChemQwen-vL [ Qwen for Chem Vision ] 🧑🏻‍🔬

🧪Model : https://huggingface.co/prithivMLmods/ChemQwen-vL

📝ChemQwen-vL is a vision-language model fine-tuned based on the Qwen2VL-2B Instruct model. It has been trained using the International Chemical Identifier (InChI) format for chemical compounds and is optimized for chemical compound identification. The model excels at generating the InChI and providing descriptions of chemical compounds based on their images. Its architecture operates within a multi-modal framework, combining image-text-text capabilities. It has been fine-tuned using datasets from: https://iupac.org/projects/

📒Colab Demo: https://tinyurl.com/2pn8x6u7, Collection : https://tinyurl.com/2mt5bjju

Inference with the documentation is possible with the help of the ReportLab library. https://pypi.org/project/reportlab/

🤗: @prithivMLmods 
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