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*Omni-Reasoner-2B* is based on Qwen2VL and is designed for mathematical and content-based explanations. It excels in providing detailed reasoning about content and solving math problems with proper content formatting. This model integrates a conversational approach with visual and textual understanding to handle multi-modal tasks effectively.
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# Sample Inference with Doc**
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# **Use it with Transformers**
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*Before using, ensure that the required libraries are successfully installed in the environment.*
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*ChemQwen With Inference Documentation, **Before using, make sure that the `hf_token` is provided in the login field in the code below.***
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```python
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# Authenticate with Hugging Face
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*Omni-Reasoner-2B* is based on Qwen2VL and is designed for mathematical and content-based explanations. It excels in providing detailed reasoning about content and solving math problems with proper content formatting. This model integrates a conversational approach with visual and textual understanding to handle multi-modal tasks effectively.
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# **Use it with Transformers**
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*Before using, ensure that the required libraries are successfully installed in the environment.*
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*ChemQwen With Inference Documentation, **Before using, make sure that the `hf_token` is provided in the login field in the code below.***
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# **Sample Inference with Doc**
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```python
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# Authenticate with Hugging Face
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