NLP-Orange-Problem
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AttentionSeekers

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pes1ug23am016 commited on Mar 14

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-# NLP Orange problem of fine tuning SLM (PES1UG23AM016, PES1UG23AM053,PES1UG23AM059,PES1UG23AM222)
 # SmolVLM2-2.2B Fine-tuned on ChartQA (LoRA)
 This is a LoRA adapter for [SmolVLM2-2.2B-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct), fine-tuned on the [ChartQA](https://huggingface.co/datasets/HuggingFaceM4/ChartQA) dataset to answer questions about charts and graphs.
-**GitHub repository:** [smolvlm2-chartqa-finetune](https://github.com/pes1ug23am016/smolvlm2-chartqa-finetune)
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 pipeline_tag: image-text-to-text
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+# NLP Orange AttentionSeekers (PES1UG23AM016, PES1UG23AM053,PES1UG23AM059,PES1UG23AM222)
 # SmolVLM2-2.2B Fine-tuned on ChartQA (LoRA)
 This is a LoRA adapter for [SmolVLM2-2.2B-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct), fine-tuned on the [ChartQA](https://huggingface.co/datasets/HuggingFaceM4/ChartQA) dataset to answer questions about charts and graphs.
+**GitHub repository:** [NLP_Orange_Problem_AttentionSeekers](https://github.com/adarshplsstop/NLP_Orange_Problem_AttentionSeekers)
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